Journal ArticleDOI
Comparison of generalized Gaussian and Laplacian modeling in DCT image coding
R.L. Joshi,Thomas R. Fischer +1 more
TLDR
Generalized Gaussian and Laplacian source models are compared in discrete cosine transform (DCT) image coding and with block classification based on AC energy, the densities of the DCT coefficients are much closer to the LaPLacian or even the Gaussian.Abstract:
Generalized Gaussian and Laplacian source models are compared in discrete cosine transform (DCT) image coding. A difference in peak signal to noise ratio (PSNR) of at most 0.5 dB is observed for encoding different images. We also compare maximum likelihood estimation of the generalized Gaussian density parameters with a simpler method proposed by Mallat (1989). With block classification based on AC energy, the densities of the DCT coefficients are much closer to the Laplacian or even the Gaussian. >read more
Citations
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Journal ArticleDOI
Speech probability distribution
Saeed Gazor,Wei Zhang +1 more
TL;DR: It is proved that speech samples during voice activity intervals are Laplacian random variables, and all marginal distributions of speech are accurately described by LD in decorrelated domains.
Journal ArticleDOI
Spatiotemporal Statistics for Video Quality Assessment
Xuelong Li,Qun Guo,Xiaoqiang Lu +2 more
TL;DR: A new NR-VQA metric based on the spatiotemporal natural video statistics in 3D discrete cosine transform (3D-DCT) domain is proposed, which is universal for multiple types of distortions and robust to different databases.
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Laplace Distribution Based Lagrangian Rate Distortion Optimization for Hybrid Video Coding
TL;DR: The proposed Lap-lambda is able to adaptively optimize the input sequences so that the overall coding efficiency is improved, and compared with HR-lambda, shows a much better or similar performance in all scenarios.
Journal ArticleDOI
A feature-based classification technique for blind image steganalysis
Wen-Nung Lie,Guo-Shiang Lin +1 more
TL;DR: A feature classification technique, based on the analysis of two statistical properties in the spatial and DCT domains, is proposed to blindly determine the existence of hidden messages in an image to be effective in class separation.
Patent
Adaptive quantization for enhancement layer video coding
TL;DR: In this article, techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding technique and tools.
References
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Distributions of the Two-Dimensional DCT Coefficients for Images
R. Reininger,Jerry D. Gibson +1 more
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Adaptive Coding of Monochrome and Color Images
Wen-Hsiung Chen,C. Smith +1 more
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