Title :
No-reference quality assessment of wavelet-compressed images
Author :
Zaramensky, Denis A. ; Priorov, Andrey L. ; Bekrenev, Vladimir A. ; Soloviev, Vladimir E.
Abstract :
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.
Keywords :
data compression; statistical analysis; video coding; JPEG2000 images; image measurement; image statistical model; image-processing algorithm; images quality assessment; peak signal to noise ratio; structural similarity index; video quality; wavelet coefficient quantization; wavelet-compressed images; Algorithm design and analysis; Image analysis; Image coding; Image restoration; PSNR; Quality assessment; Signal restoration; Transform coding; Video compression; Wavelet coefficients; JPEG2000; image compression; image quality assessment; no-reference; wavelet domain;
Conference_Titel :
EUROCON 2009, EUROCON '09. IEEE
Conference_Location :
St.-Petersburg
Print_ISBN :
978-1-4244-3860-0
Electronic_ISBN :
978-1-4244-3861-7
DOI :
10.1109/EURCON.2009.5167812
