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IDA
2009
Springer

Image Coding and Compression with Sparse 3D Discrete Cosine Transform

9 years 4 months ago
Image Coding and Compression with Sparse 3D Discrete Cosine Transform
In this paper, an algorithm for image coding based on a sparse 3-dimensional Discrete Cosine Transform (3D DCT) is studied. The algorithm is essentially a method for achieving a sufficiently sparse representation using 3D DCT. The experimental results obtained by the algorithm are compared to the 2D DCT (used in JPEG standard) and wavelet db9/7 (used in JPEG2000 standard). It is experimentally shown that the algorithm, that only uses DCT but in 3 dimensions, outperforms the DCT used in JPEG standard and achieves comparable results (but still less than) the wavelet transform.
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zad
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where IDA
Authors Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten
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