Quality is a very important parameter for all objects and their functionalities. For authentic quality evaluation ground truth is required. But in practice, it is very difficult to find the ground truth. Usually, image quality is being assessed by MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio). In contrast to MSE and PSNR, recently, SSIM (Structured Similarity Indexing Method) is proposed which compares the structural measure between obtained and original images. This paper is mainly stressed on SSIM and compares the finding with MSE and PSNR. To measure the image quality we have done a simulation work by adding noise to bench-marked original images and then calculated MSE, PSNR and SSIM of the corresponding image. We have found the superiority of the SSIM in comparison to MSE and PSNR.
Image Quality, Computer Simulation, Salt & Pepper noise, Gaussian noise.
Umme Sara "Study On Different Image Quality Assessment Techniques For Gray Scale Images" Iconic Research And Engineering Journals Volume 2 Issue 9 2020 Page 18-24
Umme Sara "Study On Different Image Quality Assessment Techniques For Gray Scale Images" Iconic Research And Engineering Journals, 2(9)