Calculating Differences in GIF Color Images

By analyzing differences between two GIF color images sharing identical dimensions and color palettes, we obtain the following metrics. Psnr quantifies the Peak Signal-to-Noise Ratio between the images, while P represents the percentage of mismatched pixel indices relative to the total image size. The computational process involves extracting pixel indices from GIF data structures and comparing corresponding positions. Based on the results, we conclude: - Significant differences between the images indicate substantial variations in color distribution and pixel composition. - A high Psnr value suggests greater similarity between the images, reflecting minimal perceptual differences. - A low P value demonstrates that the proportion of differing pixel indices is small, indicating high structural similarity. Through this analysis, we determine that although the images share identical palettes and dimensions, subtle differences persist in color representation and pixel-level data. These discrepancies may arise from image processing operations or format conversions. Therefore, during image comparison and manipulation tasks, it's crucial to account for these variations and implement appropriate normalization techniques or error correction algorithms to optimize image quality and processing accuracy.