Sciweavers

Share
IDA
2009
Springer

Image Coding and Compression with Sparse 3D Discrete Cosine Transform

11 years 25 days 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
Comments (0)
books