CompressionQualityAnalysis

Computes MSR and PSNR after compression of an image to check the compression quality.

Prerequisites

• Numpy
• Opencv

To compute

Replace orignal_image.png and compressed_image.png with your own image files. Run python file PSNR.py

Python3 PSNR.py

Significance of PSNR value

PSNR values defines how well a compression algorithm functions, lower PSNR values (0-15db) measns that the quality of restored image is bad, higher PSNR values (approximately 30-40db) means the compression algorithm works well.

Credits

• Mohd. Omama - Improvements in implementation - Mohd Omama

References

• Measures of image quality
• Peak signal to noise ratio