JPEG image compression using quantization table optimization based on perceptual image quality assessment

We consider the use of perceptual image quality assessment for quantization table (QT) optimization for JPEG compression. For evaluating performance, we consider the use of the Structural Similarity Index (SSIM) for evaluating distortion in the compressed images. This leads to the study of rate-SSIM curves that replace the traditional use of rate-distortion curves based on the PSNR.