No-reference quality assessment of wavelet-compressed images

Author

Zaramensky, Denis A. ; Priorov, Andrey L. ; Bekrenev, Vladimir A. ; Soloviev, Vladimir E.

fYear

2009

fDate

18-23 May 2009

Firstpage

1332

Lastpage

1337

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/EURCON.2009.5167812

Filename

5167812