Paper
27 September 2011 A diagonally-oriented DCT-like 2D block transform
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Abstract
Due to the prevalence of edges in image content, various directional transforms have been proposed for the efficient representation of images. Such transforms are useful for coding, denoising, and image restoration using sparse signal representation techniques. This paper describes a new non-separable 2D DCT-like orthonormal block transform that is optimized for a specified orientation angle. The approach taken in this paper is to extend to two-dimensions one approach (of several) for constructing the standard 1D DCT. The proposed transform is obtained as the eigenvectors of particular matrices, as is the standard 1D DCT.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ivan W. Selesnick and Onur G. Guleryuz "A diagonally-oriented DCT-like 2D block transform", Proc. SPIE 8138, Wavelets and Sparsity XIV, 81381R (27 September 2011); https://doi.org/10.1117/12.891884
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CITATIONS
Cited by 4 scholarly publications and 6 patents.
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KEYWORDS
Image compression

Image processing

Copper

Denoising

Image restoration

Matrices

Wavelets

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