Getting black images while applying discrete cosine transform (DCT) on image
def perform_dct(image_path): # Load the image in grayscale img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE) if img is None: raise ValueError(f"Image at {image_path} could not be loaded.") # Resize the image to 224x224 (size expected by ViT model) img = cv2.resize(img, (224, 224)) # Perform DCT dct_img = cv2.dct(np.float32(img)) # Normalize the DCT image to the range [0, 1] dct_img_min = np.min(dct_img) dct_img_max = np.max(dct_img) dct_img_normalized = (dct_img - dct_img_min) / (dct_img_max - dct_img_min) # Convert to 3-channel RGB image dct_img_normalized = (dct_img_normalized * 255).astype(np.uint8) dct_img_rgb = cv2.merge([dct_img_normalized, dct_img_normalized, dct_img_normalized]) plt.imshow(dct_img_rgb) plt.title("DCT of Imagesss") plt.show() return dct_img_rgbTrying to get discrete cosine transform (DCT) image but getting whole black image , I am not able to find error in my code . If you can Please help me
