Image Coding and Compression with Sparse 3D Discrete Cosine Transform

H. Palangi (1) , A. Ghafari (1) , Massoud Babaie-Zadeh (1) , Christian Jutten (2)

1 EE department of SUT [Tehran] - Department of Electrical Engineering [Tehran]
2 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

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.

Domains: Signal and Image Processing; Signal and Image processing

H. Palangi, A. Ghafari, Massoud Babaie-Zadeh, Christian Jutten. Image Coding and Compression with Sparse 3D Discrete Cosine Transform. ICA 2009 - 8th International Conference on Independent Component Analysis and Signal Separation, Mar 2009, Paraty, Brazil. pp.532-539. ⟨hal-00370733⟩