new converter

import numpy as np
import png, os, pydicom

source_folder = r'C:\Users\Omar-ElQady\OneDrive - Faculty of Computers and Information\Desktop\dcm\\'
output_folder = r'C:\Users\Omar-ElQady\OneDrive - Faculty of Computers and Information\Desktop\jpg\\'


def dicom2png(source_folder, output_folder):
    list_of_files = os.listdir(source_folder)
    for file in list_of_files:
        try:
            ds = pydicom.dcmread(os.path.join(source_folder,file))
            shape = ds.pixel_array.shape

            # Convert to float to avoid overflow or underflow losses.
            image_2d = ds.pixel_array.astype(float)

            # Rescaling grey scale between 0-255
            threshold = 500
            image_2d_scaled = (np.maximum(image_2d,0) / image_2d.max()+ threshold) * 255.0

            # Convert to uint
            image_2d_scaled = np.uint8(image_2d_scaled)

            # Write the PNG file
            with open(os.path.join(output_folder,file)+'.png' , 'wb') as png_file:
                w = png.Writer(shape[1], shape[0], greyscale=True)
                w.write(png_file, image_2d_scaled)
        except:
            print('Could not convert: ', file)


dicom2png(source_folder, output_folder)