An analysis on the effect of image activity on lossy coding performance

Author

Saha, Subhasis ; Vemuri, Rao

Author_Institution

California Univ., Davis, CA, USA

Volume

3

fYear

2000

fDate

2000

Firstpage

295

Abstract

When we compress a variety of images of different types using a fixed wavelet filter, it is seen that the peak signal-to-noise ratio (PSNR) values vary widely from image to image. This large variation in PSNR by as much as 30 dB, can mainly be attributed to a characteristic of the image known as Image Activity Measure (IAM). In this paper, we analyze a set of textures and images to determine the best measure of image activity. We show that such IAM is very effective in capturing the activities differentiating between various images. This IAM also links well with the PSNR value of the image in the lossy coding context. We establish this linkage in the form of an IAM-PSNR equation

Keywords

data compression; image coding; image texture; interference (signal); wavelet transforms; IAM-PSNR equation; PSNR values; fixed wavelet filter; image activity effect; image activity measure; lossy coding performance; peak signal-to-noise ratio; textures; Filters; Image analysis; Image coding; Image edge detection; Image texture analysis; Laplace equations; PSNR; Performance analysis; Performance loss; Size measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.856055

Filename

856055