Extract images from PDF without resampling, in python? [closed]

You can use the module PyMuPDF. This outputs all images as .png files, but worked out of the box and is fast.

import fitz
doc = fitz.open("file.pdf")
for i in range(len(doc)):
    for img in doc.getPageImageList(i):
        xref = img[0]
        pix = fitz.Pixmap(doc, xref)
        if pix.n < 5:       # this is GRAY or RGB
            pix.writePNG("p%s-%s.png" % (i, xref))
        else:               # CMYK: convert to RGB first
            pix1 = fitz.Pixmap(fitz.csRGB, pix)
            pix1.writePNG("p%s-%s.png" % (i, xref))
            pix1 = None
        pix = None

see here for more resources

Here is a modified the version for fitz 1.19.6:

import os
import fitz  # pip install --upgrade pip; pip install --upgrade pymupdf
from tqdm import tqdm # pip install tqdm

workdir = "your_folder"

for each_path in os.listdir(workdir):
    if ".pdf" in each_path:
        doc = fitz.Document((os.path.join(workdir, each_path)))

        for i in tqdm(range(len(doc)), desc="pages"):
            for img in tqdm(doc.get_page_images(i), desc="page_images"):
                xref = img[0]
                image = doc.extract_image(xref)
                pix = fitz.Pixmap(doc, xref)
                pix.save(os.path.join(workdir, "%s_p%s-%s.png" % (each_path[:-4], i, xref)))
                
print("Done!")

In Python with pypdf and Pillow libraries it is simple:

from pypdf import PdfReader

reader = PdfReader("example.pdf")
for page in reader.pages:
    for image in page.images:
        with open(image.name, "wb") as fp:
            fp.write(image.data)

Please note: PyPDF2 is deprecated. Use pypdf.

Often in a PDF, the image is simply stored as-is. For example, a PDF with a jpg inserted will have a range of bytes somewhere in the middle that when extracted is a valid jpg file. You can use this to very simply extract byte ranges from the PDF. I wrote about this some time ago, with sample code: Extracting JPGs from PDFs.

In Python with PyPDF2 for CCITTFaxDecode filter:

import PyPDF2
import struct

"""
Links:
PDF format: http://www.adobe.com/content/dam/Adobe/en/devnet/acrobat/pdfs/pdf_reference_1-7.pdf
CCITT Group 4: https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-T.6-198811-I!!PDF-E&type=items
Extract images from pdf: http://stackoverflow.com/questions/2693820/extract-images-from-pdf-without-resampling-in-python
Extract images coded with CCITTFaxDecode in .net: http://stackoverflow.com/questions/2641770/extracting-image-from-pdf-with-ccittfaxdecode-filter
TIFF format and tags: http://www.awaresystems.be/imaging/tiff/faq.html
"""


def tiff_header_for_CCITT(width, height, img_size, CCITT_group=4):
    tiff_header_struct = '<' + '2s' + 'h' + 'l' + 'h' + 'hhll' * 8 + 'h'
    return struct.pack(tiff_header_struct,
                       b'II',  # Byte order indication: Little indian
                       42,  # Version number (always 42)
                       8,  # Offset to first IFD
                       8,  # Number of tags in IFD
                       256, 4, 1, width,  # ImageWidth, LONG, 1, width
                       257, 4, 1, height,  # ImageLength, LONG, 1, lenght
                       258, 3, 1, 1,  # BitsPerSample, SHORT, 1, 1
                       259, 3, 1, CCITT_group,  # Compression, SHORT, 1, 4 = CCITT Group 4 fax encoding
                       262, 3, 1, 0,  # Threshholding, SHORT, 1, 0 = WhiteIsZero
                       273, 4, 1, struct.calcsize(tiff_header_struct),  # StripOffsets, LONG, 1, len of header
                       278, 4, 1, height,  # RowsPerStrip, LONG, 1, lenght
                       279, 4, 1, img_size,  # StripByteCounts, LONG, 1, size of image
                       0  # last IFD
                       )

pdf_filename = 'scan.pdf'
pdf_file = open(pdf_filename, 'rb')
cond_scan_reader = PyPDF2.PdfFileReader(pdf_file)
for i in range(0, cond_scan_reader.getNumPages()):
    page = cond_scan_reader.getPage(i)
    xObject = page['/Resources']['/XObject'].getObject()
    for obj in xObject:
        if xObject[obj]['/Subtype'] == '/Image':
            """
            The  CCITTFaxDecode filter decodes image data that has been encoded using
            either Group 3 or Group 4 CCITT facsimile (fax) encoding. CCITT encoding is
            designed to achieve efficient compression of monochrome (1 bit per pixel) image
            data at relatively low resolutions, and so is useful only for bitmap image data, not
            for color images, grayscale images, or general data.

            K < 0 --- Pure two-dimensional encoding (Group 4)
            K = 0 --- Pure one-dimensional encoding (Group 3, 1-D)
            K > 0 --- Mixed one- and two-dimensional encoding (Group 3, 2-D)
            """
            if xObject[obj]['/Filter'] == '/CCITTFaxDecode':
                if xObject[obj]['/DecodeParms']['/K'] == -1:
                    CCITT_group = 4
                else:
                    CCITT_group = 3
                width = xObject[obj]['/Width']
                height = xObject[obj]['/Height']
                data = xObject[obj]._data  # sorry, getData() does not work for CCITTFaxDecode
                img_size = len(data)
                tiff_header = tiff_header_for_CCITT(width, height, img_size, CCITT_group)
                img_name = obj[1:] + '.tiff'
                with open(img_name, 'wb') as img_file:
                    img_file.write(tiff_header + data)
                #
                # import io
                # from PIL import Image
                # im = Image.open(io.BytesIO(tiff_header + data))
pdf_file.close()

Libpoppler comes with a tool called "pdfimages" that does exactly this.

(On ubuntu systems it's in the poppler-utils package)

http://poppler.freedesktop.org/

http://en.wikipedia.org/wiki/Pdfimages

Windows binaries: http://blog.alivate.com.au/poppler-windows/

PikePDF can do this with very little code:

from pikepdf import Pdf, PdfImage

filename = "sample-in.pdf"
example = Pdf.open(filename)

for i, page in enumerate(example.pages):
    for j, (name, raw_image) in enumerate(page.images.items()):
        image = PdfImage(raw_image)
        out = image.extract_to(fileprefix=f"{filename}-page{i:03}-img{j:03}")

extract_to will automatically pick the file extension based on how the image is encoded in the PDF.

If you want, you could also print some detail about the images as they get extracted:

        # Optional: print info about image
        w = raw_image.stream_dict.Width
        h = raw_image.stream_dict.Height
        f = raw_image.stream_dict.Filter
        size = raw_image.stream_dict.Length

        print(f"Wrote {name} {w}x{h} {f} {size:,}B {image.colorspace} to {out}")

which can print something like

Wrote /Im1 150x150 /DCTDecode 5,952B /ICCBased to sample2.pdf-page000-img000.jpg
Wrote /Im10 32x32 /FlateDecode 36B /ICCBased to sample2.pdf-page000-img001.png
...

See the docs for more that you can do with images, including replacing them in the PDF file.

While this usually works pretty well, note that there are a number of images that won’t be extracted this way:

• Vector graphics, such as embedded SVG/PS/PDF; you can crop the original PDF, but I’m not aware of an easy way to do this programmatically
• Certain monochrome images compressed inside the PDF using “CCITTFaxDecode, type G4, with the /EncodedByteAlign set to true”
• Non-RGB/CMYK images, aka ProcessColorModel/DeviceN/HiFi, used for colour separations (Thanks mara004)

I prefer minecart as it is extremely easy to use. The below snippet show how to extract images from a pdf:

#pip install minecart
import minecart

pdffile = open('Invoices.pdf', 'rb')
doc = minecart.Document(pdffile)

page = doc.get_page(0) # getting a single page

#iterating through all pages
for page in doc.iter_pages():
    im = page.images[0].as_pil()  # requires pillow
    display(im)

Here is my version from 2019 that recursively gets all images from PDF and reads them with PIL. Compatible with Python 2/3. I also found that sometimes image in PDF may be compressed by zlib, so my code supports decompression.

#!/usr/bin/env python3
try:
    from StringIO import StringIO
except ImportError:
    from io import BytesIO as StringIO
from PIL import Image
from PyPDF2 import PdfFileReader, generic
import zlib


def get_color_mode(obj):

    try:
        cspace = obj['/ColorSpace']
    except KeyError:
        return None

    if cspace == '/DeviceRGB':
        return "RGB"
    elif cspace == '/DeviceCMYK':
        return "CMYK"
    elif cspace == '/DeviceGray':
        return "P"

    if isinstance(cspace, generic.ArrayObject) and cspace[0] == '/ICCBased':
        color_map = obj['/ColorSpace'][1].getObject()['/N']
        if color_map == 1:
            return "P"
        elif color_map == 3:
            return "RGB"
        elif color_map == 4:
            return "CMYK"


def get_object_images(x_obj):
    images = []
    for obj_name in x_obj:
        sub_obj = x_obj[obj_name]

        if '/Resources' in sub_obj and '/XObject' in sub_obj['/Resources']:
            images += get_object_images(sub_obj['/Resources']['/XObject'].getObject())

        elif sub_obj['/Subtype'] == '/Image':
            zlib_compressed = '/FlateDecode' in sub_obj.get('/Filter', '')
            if zlib_compressed:
               sub_obj._data = zlib.decompress(sub_obj._data)

            images.append((
                get_color_mode(sub_obj),
                (sub_obj['/Width'], sub_obj['/Height']),
                sub_obj._data
            ))

    return images


def get_pdf_images(pdf_fp):
    images = []
    try:
        pdf_in = PdfFileReader(open(pdf_fp, "rb"))
    except:
        return images

    for p_n in range(pdf_in.numPages):

        page = pdf_in.getPage(p_n)

        try:
            page_x_obj = page['/Resources']['/XObject'].getObject()
        except KeyError:
            continue

        images += get_object_images(page_x_obj)

    return images


if __name__ == "__main__":

    pdf_fp = "test.pdf"

    for image in get_pdf_images(pdf_fp):
        (mode, size, data) = image
        try:
            img = Image.open(StringIO(data))
        except Exception as e:
            print ("Failed to read image with PIL: {}".format(e))
            continue
        # Do whatever you want with the image

Well I have been struggling with this for many weeks, many of these answers helped me through, but there was always something missing, apparently no one here has ever had problems with jbig2 encoded images.

In the bunch of PDF that I am to scan, images encoded in jbig2 are very popular.

As far as I understand there are many copy/scan machines that scan papers and transform them into PDF files full of jbig2 encoded images.

So after many days of tests decided to go for the answer proposed here by dkagedal long time ago.

Here is my step by step on linux: (if you have another OS I suggest to use a linux docker it's going to be much easier.)

First step:

apt-get install poppler-utils

Then I was able to run command line tool called pdfimages like this:

pdfimages -all myfile.pdf ./images_found/

With the above command you will be able to extract all the images contained in myfile.pdf and you will have them saved inside images_found (you have to create images_found before)

In the list you will find several types of images, png, jpg, tiff; all these are easily readable with any graphic tool.

Then you will have some files named like: -145.jb2e and -145.jb2g.

These 2 files contain ONE IMAGE encoded in jbig2 saved in 2 different files one for the header and one for the data

Again I have lost many days trying to find out how to convert those files into something readable and finally I came across this tool called jbig2dec

So first you need to install this magic tool:

apt-get install jbig2dec

then you can run:

jbig2dec -t png -145.jb2g -145.jb2e

You are going to finally be able to get all extracted images converted into something useful.

good luck!

I started from the code of @sylvain There was some flaws, like the exception NotImplementedError: unsupported filter /DCTDecode of getData, or the fact the code failed to find images in some pages because they were at a deeper level than the page.

There is my code :

import PyPDF2

from PIL import Image

import sys
from os import path
import warnings
warnings.filterwarnings("ignore")

number = 0

def recurse(page, xObject):
    global number

    xObject = xObject['/Resources']['/XObject'].getObject()

    for obj in xObject:

        if xObject[obj]['/Subtype'] == '/Image':
            size = (xObject[obj]['/Width'], xObject[obj]['/Height'])
            data = xObject[obj]._data
            if xObject[obj]['/ColorSpace'] == '/DeviceRGB':
                mode = "RGB"
            else:
                mode = "P"

            imagename = "%s - p. %s - %s"%(abspath[:-4], p, obj[1:])

            if xObject[obj]['/Filter'] == '/FlateDecode':
                img = Image.frombytes(mode, size, data)
                img.save(imagename + ".png")
                number += 1
            elif xObject[obj]['/Filter'] == '/DCTDecode':
                img = open(imagename + ".jpg", "wb")
                img.write(data)
                img.close()
                number += 1
            elif xObject[obj]['/Filter'] == '/JPXDecode':
                img = open(imagename + ".jp2", "wb")
                img.write(data)
                img.close()
                number += 1
        else:
            recurse(page, xObject[obj])



try:
    _, filename, *pages = sys.argv
    *pages, = map(int, pages)
    abspath = path.abspath(filename)
except BaseException:
    print('Usage :\nPDF_extract_images file.pdf page1 page2 page3 …')
    sys.exit()


file = PyPDF2.PdfFileReader(open(filename, "rb"))

for p in pages:    
    page0 = file.getPage(p-1)
    recurse(p, page0)

print('%s extracted images'% number)

After some searching I found the following script which works really well with my PDF's. It does only tackle JPG, but it worked perfectly with my unprotected files. Also is does not require any outside libraries.

Not to take any credit, the script originates from Ned Batchelder, and not me. Python3 code: extract jpg's from pdf's. Quick and dirty

import sys

with open(sys.argv[1],"rb") as file:
    file.seek(0)
    pdf = file.read()

startmark = b"\xff\xd8"
startfix = 0
endmark = b"\xff\xd9"
endfix = 2
i = 0

njpg = 0
while True:
    istream = pdf.find(b"stream", i)
    if istream < 0:
        break
    istart = pdf.find(startmark, istream, istream + 20)
    if istart < 0:
        i = istream + 20
        continue
    iend = pdf.find(b"endstream", istart)
    if iend < 0:
        raise Exception("Didn't find end of stream!")
    iend = pdf.find(endmark, iend - 20)
    if iend < 0:
        raise Exception("Didn't find end of JPG!")

    istart += startfix
    iend += endfix
    print("JPG %d from %d to %d" % (njpg, istart, iend))
    jpg = pdf[istart:iend]
    with open("jpg%d.jpg" % njpg, "wb") as jpgfile:
        jpgfile.write(jpg)

    njpg += 1
    i = iend

I did this for my own program, and found that the best library to use was PyMuPDF. It lets you find out the "xref" numbers of each image on each page, and use them to extract the raw image data from the PDF.

import fitz
from PIL import Image
import io

filePath = "path/to/file.pdf"
#opens doc using PyMuPDF
doc = fitz.Document(filePath)

#loads the first page
page = doc.loadPage(0)

#[First image on page described thru a list][First attribute on image list: xref n], check PyMuPDF docs under getImageList()
xref = page.getImageList()[0][0]

#gets the image as a dict, check docs under extractImage 
baseImage = doc.extractImage(xref)

#gets the raw string image data from the dictionary and wraps it in a BytesIO object before using PIL to open it
image = Image.open(io.BytesIO(baseImage['image']))

#Displays image for good measure
image.show()

Definitely check out the docs, though.

Much easier solution:

Use the poppler-utils package. To install it use homebrew (homebrew is MacOS specific, but you can find the poppler-utils package for Widows or Linux here: https://poppler.freedesktop.org/). First line of code below installs poppler-utils using homebrew. After installation the second line (run from the command line) then extracts images from a PDF file and names them "image*". To run this program from within Python use the os or subprocess module. Third line is code using os module, beneath that is an example with subprocess (python 3.5 or later for run() function). More info here: https://www.cyberciti.biz/faq/easily-extract-images-from-pdf-file/

brew install poppler

pdfimages file.pdf image

import os
os.system('pdfimages file.pdf image')

or

import subprocess
subprocess.run('pdfimages file.pdf image', shell=True)

After reading the posts using pyPDF2.

The error while using @sylvain's code NotImplementedError: unsupported filter /DCTDecode must come from the method .getData(): It is solved when using ._data instead, by @Alex Paramonov.

So far I have only met "DCTDecode" cases, but I am sharing the adapted code that include remarks from the different posts: From zilb by @Alex Paramonov, sub_obj['/Filter'] being a list, by @mxl.

Hope it can help the pyPDF2 users. Follow the code:

    import sys
    import PyPDF2, traceback
    import zlib
    try:
        from PIL import Image
    except ImportError:
        import Image

    pdf_path = 'path_to_your_pdf_file.pdf'
    input1 = PyPDF2.PdfFileReader(open(pdf_path, "rb"))
    nPages = input1.getNumPages()

    for i in range(nPages) :
        page0 = input1.getPage(i)

        if '/XObject' in page0['/Resources']:
            try:
                xObject = page0['/Resources']['/XObject'].getObject()
            except :
                xObject = []

            for obj_name in xObject:
                sub_obj = xObject[obj_name]
                if sub_obj['/Subtype'] == '/Image':
                    zlib_compressed = '/FlateDecode' in sub_obj.get('/Filter', '')
                    if zlib_compressed:
                       sub_obj._data = zlib.decompress(sub_obj._data)

                    size = (sub_obj['/Width'], sub_obj['/Height'])
                    data = sub_obj._data#sub_obj.getData()
                    try :
                        if sub_obj['/ColorSpace'] == '/DeviceRGB':
                            mode = "RGB"
                        elif sub_obj['/ColorSpace'] == '/DeviceCMYK':
                            mode = "CMYK"
                            # will cause errors when saving (might need convert to RGB first)
                        else:
                            mode = "P"

                        fn = 'p%03d-%s' % (i + 1, obj_name[1:])
                        if '/Filter' in sub_obj:
                            if '/FlateDecode' in sub_obj['/Filter']:
                                img = Image.frombytes(mode, size, data)
                                img.save(fn + ".png")
                            elif '/DCTDecode' in sub_obj['/Filter']:
                                img = open(fn + ".jpg", "wb")
                                img.write(data)
                                img.close()
                            elif '/JPXDecode' in sub_obj['/Filter']:
                                img = open(fn + ".jp2", "wb")
                                img.write(data)
                                img.close()
                            elif '/CCITTFaxDecode' in sub_obj['/Filter']:
                                img = open(fn + ".tiff", "wb")
                                img.write(data)
                                img.close()
                            elif '/LZWDecode' in sub_obj['/Filter'] :
                                img = open(fn + ".tif", "wb")
                                img.write(data)
                                img.close()
                            else :
                                print('Unknown format:', sub_obj['/Filter'])
                        else:
                            img = Image.frombytes(mode, size, data)
                            img.save(fn + ".png")
                    except:
                        traceback.print_exc()
        else:
            print("No image found for page %d" % (i + 1))

I installed ImageMagick on my server and then run commandline-calls through Popen:

 #!/usr/bin/python

 import sys
 import os
 import subprocess
 import settings

 IMAGE_PATH = os.path.join(settings.MEDIA_ROOT , 'pdf_input' )

 def extract_images(pdf):
     output = 'temp.png'
     cmd = 'convert ' + os.path.join(IMAGE_PATH, pdf) + ' ' + os.path.join(IMAGE_PATH, output)
     subprocess.Popen(cmd.split(), stderr=subprocess.STDOUT, stdout=subprocess.PIPE)

This will create an image for every page and store them as temp-0.png, temp-1.png .... This is only 'extraction' if you got a pdf with only images and no text.

As of February 2019, the solution given by @sylvain (at least on my setup) does not work without a small modification: xObject[obj]['/Filter'] is not a value, but a list, thus in order to make the script work, I had to modify the format checking as follows:

import PyPDF2, traceback

from PIL import Image

input1 = PyPDF2.PdfFileReader(open(src, "rb"))
nPages = input1.getNumPages()
print nPages

for i in range(nPages) :
    print i
    page0 = input1.getPage(i)
    try :
        xObject = page0['/Resources']['/XObject'].getObject()
    except : xObject = []

    for obj in xObject:
        if xObject[obj]['/Subtype'] == '/Image':
            size = (xObject[obj]['/Width'], xObject[obj]['/Height'])
            data = xObject[obj].getData()
            try :
                if xObject[obj]['/ColorSpace'] == '/DeviceRGB':
                    mode = "RGB"
                elif xObject[obj]['/ColorSpace'] == '/DeviceCMYK':
                    mode = "CMYK"
                    # will cause errors when saving
                else:
                    mode = "P"

                fn = 'p%03d-%s' % (i + 1, obj[1:])
                print '\t', fn
                if '/FlateDecode' in xObject[obj]['/Filter'] :
                    img = Image.frombytes(mode, size, data)
                    img.save(fn + ".png")
                elif '/DCTDecode' in xObject[obj]['/Filter']:
                    img = open(fn + ".jpg", "wb")
                    img.write(data)
                    img.close()
                elif '/JPXDecode' in xObject[obj]['/Filter'] :
                    img = open(fn + ".jp2", "wb")
                    img.write(data)
                    img.close()
                elif '/LZWDecode' in xObject[obj]['/Filter'] :
                    img = open(fn + ".tif", "wb")
                    img.write(data)
                    img.close()
                else :
                    print 'Unknown format:', xObject[obj]['/Filter']
            except :
                traceback.print_exc()

I added all of those together in PyPDFTK here.

My own contribution is handling of /Indexed files as such:

for obj in xObject:
    if xObject[obj]['/Subtype'] == '/Image':
        size = (xObject[obj]['/Width'], xObject[obj]['/Height'])
        color_space = xObject[obj]['/ColorSpace']
        if isinstance(color_space, pdf.generic.ArrayObject) and color_space[0] == '/Indexed':
            color_space, base, hival, lookup = [v.getObject() for v in color_space] # pg 262
        mode = img_modes[color_space]

        if xObject[obj]['/Filter'] == '/FlateDecode':
            data = xObject[obj].getData()
            img = Image.frombytes(mode, size, data)
            if color_space == '/Indexed':
                img.putpalette(lookup.getData())
                img = img.convert('RGB')
            img.save("{}{:04}.png".format(filename_prefix, i))

Note that when /Indexed files are found, you can't just compare /ColorSpace to a string, because it comes as an ArrayObject. So, we have to check the array and retrieve the indexed palette (lookup in the code) and set it in the PIL Image object, otherwise it stays uninitialized (zero) and the whole image shows as black.

My first instinct was to save them as GIFs (which is an indexed format), but my tests turned out that PNGs were smaller and looked the same way.

I found those types of images when printing to PDF with Foxit Reader PDF Printer.

You could use pdfimages command in Ubuntu as well.

Install poppler lib using the below commands.

sudo apt install poppler-utils

sudo apt-get install python-poppler

pdfimages file.pdf image

List of files created are, (for eg.,. there are two images in pdf)

image-000.png
image-001.png

It works ! Now you can use a subprocess.run to run this from python.

With pypdfium2 (v4):

import pypdfium2.__main__ as pdfium_cli

pdfium_cli.api_main(["extract-images", "input.pdf", "-o", "output_dir"])

There are some options to choose between different extraction strategies (see pypdfium2 extract-images --help).

Actual non-CLI Python APIs are available as well. The CLI's implementation demonstrates them (see the docs for details):

# assuming `args` is a given options set (e. g. argparse namepsace)

import pypdfium2 as pdfium
import pypdfium2.raw as pdfium_c

pdf = pdfium.PdfDocument(args.input)

images = []
for i in args.pages:
    page = pdf.get_page(i)
    obj_searcher = page.get_objects(
        filter = (pdfium_c.FPDF_PAGEOBJ_IMAGE, ),
        max_depth = args.max_depth,
    )
    images += list(obj_searcher)

n_digits = len(str(len(images)))

for i, image in enumerate(images):
    prefix = args.output_dir / ("%s_%0*d" % (args.input.stem, n_digits, i+1))
    
    try:
        if args.use_bitmap:
            pil_image = image.get_bitmap(render=args.render).to_pil()
            pil_image.save("%s.%s" % (prefix, args.format))
        else:
            image.extract(prefix, fb_format=args.format, fb_render=args.render)
    except pdfium.PdfiumError:
        traceback.print_exc()

Note: Unfortunately, PDFium's public image extraction APIs are quite limited, so PdfImage.extract() is by far not as smart as pikepdf. If you only need the image bitmap and do not intend to save the image, PdfImage.get_bitmap() should be fine, though.

(Disclaimer: I'm the author of pypdfium2)

Try below code. it will extract all image from pdf.

    import sys
    import PyPDF2
    from PIL import Image
    pdf=sys.argv[1]
    print(pdf)
    input1 = PyPDF2.PdfFileReader(open(pdf, "rb"))
    for x in range(0,input1.numPages):
        xObject=input1.getPage(x)
        xObject = xObject['/Resources']['/XObject'].getObject()
        for obj in xObject:
            if xObject[obj]['/Subtype'] == '/Image':
                size = (xObject[obj]['/Width'], xObject[obj]['/Height'])
                print(size)
                data = xObject[obj]._data
                #print(data)
                print(xObject[obj]['/Filter'])
                if xObject[obj]['/Filter'][0] == '/DCTDecode':
                    img_name=str(x)+".jpg"
                    print(img_name)
                    img = open(img_name, "wb")
                    img.write(data)
                    img.close()
        print(str(x)+" is done")

I rewrite solutions as single python class. It should be easy to work with. If you notice new "/Filter" or "/ColorSpace" then just add it to internal dictionaries.

https://github.com/survtur/extract_images_from_pdf

Requirements:

• Python3.6+
• PyPDF2
• PIL

Following code is updated version of PyMUPDF :

doc = fitz.open("/Users/vignesh/Downloads/ViewJournal2244.pdf")
Images_per_page={}
for i in page:
    images=[]
    for image_box in doc[page].get_images():
        rect=doc[page].get_image_rects(image_box)
        page=doc[page].get_pixmap(matrix=fitz.Identity,clip=rect[0],dpi=None,colorspace=fitz.csRGB,alpha=True, annots=True) 
        string=page.tobytes()
        images.append(string)
    Images_per_page[i]=images