Loading...
Please wait, while we are loading the content...
Similar Documents
Statistical Modelling of Full Frame DCT Coefficients (1998)
| Content Provider | CiteSeerX |
|---|---|
| Author | Barni, M. Bartolini, F. Piva, A. Rigacci, F. |
| Description | Because of the increasing influence it has in image watermarking applications, the estimation of the distribution shape of full frame DCT coefficients is here addressed. Based on previous analyses on block-DCT, the coefficients are first assumed to follow a Generalized Gaussian distribution. The shape parameter is then evaluated according to the maximum likelihood criterion applied to a set of 170 natural images. The analysis has been further validated by using the Ø 2 test-of-fit criterion. In contrast to the block-DCT case, experimental results prove that full frame DCT coefficients can be modeled without appreciable loss of performance by a Laplacian density function having variance decreasing with frequency. 1 INTRODUCTION Due to the major role it plays in still images and video compression algorithms, block-DCT has been thoroughly studied. In particular, several approaches have been proposed to model block-DCT coefficients through analytically manageable probability density f... |
| File Format | |
| Language | English |
| Publisher Date | 1998-01-01 |
| Publisher Institution | In Proc. EUSIPCO '98 |
| Access Restriction | Open |
| Subject Keyword | Block-dct Case Block-dct Coefficient Generalized Gaussian Distribution Distribution Shape Natural Image Statistical Modelling Manageable Probability Density Test-of-fit Criterion Image Watermarking Application Full Frame Dct Coefficient Video Compression Algorithm Previous Analysis Laplacian Density Function Maximum Likelihood Criterion Introduction Due Several Approach Experimental Result Major Role Appreciable Loss Shape Parameter |
| Content Type | Text |
| Resource Type | Article |
