Proceedings ArticleDOI
On unified architectures for synthesizing and implementation of fast parametric transforms
Susanna Minasyan,Jaakko Astola,David Guevorkian +2 more
- pp 710-714
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TLDR
The methodology proposed in this paper allows of designing VLSI architectures that may not only switch from one transform of a family to another by setting parameters, but also to actually set these parameters so that the matrix of the resulting transform has predefined basis functions.Abstract:
In this paper a methodology to design VLSI architectures for parametric transform families is proposed. A parametric transform family consists of discrete orthogonal transforms such that they all may be computed with a fast algorithm of similar structure where parameters defining the transform within the family are used. In our previous work, an algorithm to synthesize transforms with predefined basis functions was introduced and efficiently applied to image compression. The methodology proposed in this paper allows of designing VLSI architectures that may not only switch from one transform of a family to another by setting parameters, but also to actually set these parameters so that the matrix of the resulting transform has predefined basis functionsread more
Citations
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Patent
Content adaptive parametric transforms for coding for next generation video
Neelesh N. Gokhale,Atul Puri +1 more
TL;DR: In this article, a method for video coding according to the present invention comprises: the steps of receiving prediction error data or coding partition or a partition of original pixel data for transform coding, performing a closed-form parametric transform on the prediction error and coding partition, quantizing the transform coefficients to generate quantized transform coefficients, and entropy encoding data associated with the quantised transform coefficient into a bitstream.
Patent
Content adaptive partitioning for prediction and coding for next generation video
Atul Puri,Neelesh N. Gokhale +1 more
TL;DR: In this article, content adaptive partitioning for prediction and coding is described. But the authors focus on the problem of content adaptive content partitioning in the context of prediction and classification.
Journal ArticleDOI
Joint compression and encryption of visual data using orthogonal parametric transforms
D. Puchala,M. M. Yatsymirskyy +1 more
Journal ArticleDOI
Approximating the KLT by Maximizing the Sum of Fourth-Order Moments
TL;DR: It is proved that with the practical assumptions the maximization of the sum of fourth-order moments of random variables in the domain of orthonormal transform leads to any permuted KLT.
Patent
Content adaptive entropy coding of coded/not-coded data for next generation video
Atul Puri,Daniel Socek +1 more
TL;DR: In this paper, content adaptive entropy coding of coded/not-coded data is described, and several techniques related to content adaptive coding are described, e.g., content-adaptive entropy coding (CAEC).
References
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Book
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TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI
A Generalized Technique for Spectral Analysis
TL;DR: It is shown how the Kronecker product can be mathematically defined and efficiently implemented using a matrix factorization method and a generalized spectral analysis is suggested, and a variety of examples are presented displaying various properties of the decompositions possible.
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Orthogonal Transform Coding System for Television Signals
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TL;DR: It is indicated that the slant orthogonal transformation derived from Hadamard matrix is most advantageous for compression of TV signal bandwidth.
Proceedings ArticleDOI
An image compression scheme based on parametric Haar-like transform
TL;DR: The nature of the proposed image compression scheme is such that its performance cannot be worse than that of the classical DCT (discrete cosine transform) based scheme.
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