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A. MAHMOUDI AZNAVEH1,* , A. MANSOURI1, F. TORKAMANIAZAR1
This paper analyses the distribution of singular vectors entries of an image to guarantee the quality of the compressed images. Distribution of singular vectors entries of all images follows a multi Gaussian probability density function. The proposed idea is employed for determination of compression rate of images. It is shown that while the Gaussian distribution of singular vectors entries is valid for all type of images, it depends to the complexity level of the image.
Image compression, SVD, Multi gaussian distribution.
A. MAHMOUDI AZNAVEH, A. MANSOURI, F. TORKAMANIAZAR, Comments on SVD related image compression, Optoelectronics and Advanced Materials - Rapid Communications, 3, 8, August 2009, pp.787-790 (2009).
Submitted at: June 25, 2009
Accepted at: July 31, 2009
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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