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