Image Quality Metrics: PSNR vs. SSIM
Alain Horé, Djemel Ziou
Abstract
In this paper, we analyse two well-known objective image quality metrics, the peak-signal-to-noise ratio (PSNR) as well as the structural similarity index measure (SSIM), and we derive a simple mathematical relationship between them which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and jpeg2000 compression. A series of tests realized on images extracted from the Kodak database gives a better understanding of the similarity and difference between the SSIM and the PSNR.
Topics & Concepts
Peak signal-to-noise ratioArtificial intelligenceAdditive white Gaussian noiseJPEG 2000Image qualityComputer scienceJPEGPattern recognition (psychology)Similarity (geometry)Image (mathematics)Image compressionGaussian noiseGaussianComputer visionMeasure (data warehouse)MathematicsImage processingWhite noiseData miningPhysicsTelecommunicationsQuantum mechanicsImage and Video Quality AssessmentImage and Signal Denoising MethodsAdvanced Image Processing Techniques