No-reference quality assessment of wavelet-compressed images
Denis A. Zaramensky, Andrey L. Priorov, Vladimir A. Bekrenev, Vladimir E. Soloviev · 2009
Measurement of image and video quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement and reproduction. In this paper a no-reference quality assessment algorithm for JPEG2000 images is analyzed. This algorithm uses the changes in image statistical model due to wavelet coefficient quantization. We calculate suboptimal parameters of the algorithm and provide comparison between no-reference algorithm and two full-reference methods: peak signal to noise ratio (PSNR) and structural similarity index (SSIM). Examples of images quality assessment are provided.