An efficient fast integer DCT transform for images compression with 16 additions only

Author

Brahimi, Nabila ; Bouguezel, Saad

Author_Institution

Dept. of Electron., Univ. of Setif, Setif, Algeria

fYear

2011

fDate

9-11 May 2011

Firstpage

71

Lastpage

74

Abstract

A new fast matrix is introduced for the discrete cosine transform (DCT), an important transform that is of particular interest in image compression. For an 8-point DCT only 16 additions are required by appropriately introducing some zeros in the 8×8 Signed DCT (SDCT) matrix taking into account the orthogonality conditions. The second originality of this work is the development of a suitable quantization matrix suitable for our proposed transform matrix. This quantization matrix improves the peak signal to noise ratio (PSNR) by about 0.7 dB compared to the JPEG quantization matrix.

Keywords

data compression; discrete cosine transforms; image coding; matrix algebra; JPEG quantization matrix; PSNR; discrete cosine transform; fast integer DCT transform; image compression; orthogonality condition; peak signal to noise ratio; Discrete cosine transforms; Image coding; PSNR; Quantization; Signal processing algorithms; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on

Conference_Location

Tipaza

Print_ISBN

978-1-4577-0689-9

Type

conf

DOI

10.1109/WOSSPA.2011.5931415

Filename

5931415