Efficient block-based coding of noise images by combining pre-filtering and DCT

Author

Kim, Sung Deuk ; Jang, Sung Kyu ; Kim, Myung Jun ; Ra, Jong Beom

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

4

fYear

1999

fDate

36342

Firstpage

37

Abstract

A conventional image coder, such as JPEG, requires not only DCT and quantization but also additional pre-filtering under noisy environment. Since the pre-filtering removes camera noise and improves coding efficiency dramatically, its efficient implementation has been an important issue. Based on well-known noise removal techniques in image processing fields, this paper introduces an efficient scheme by adapting a noise removal procedure to block-based image coders. By using two-dimensional DCT factorization, the proposed image coder has only a modified DCT and a VLC, and performs pre-filtering and quantization simultaneously in the modified DCT operation

Keywords

Wiener filters; block codes; discrete cosine transforms; filtering theory; image coding; matrix decomposition; mean square error methods; quantisation (signal); transform coding; variable length codes; JPEG; VLC; Winograd factorization; efficient block-based coding; generalized Wiener filter; mean square error; modified DCT; noise images; noise removal procedure; pre-filtering; quantization; stationary Markov model; two-dimensional DCT factorization; Cameras; Computational complexity; Discrete cosine transforms; Filtering; Image coding; Image processing; Kernel; Quantization; Wiener filter; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-5471-0

Type

conf

DOI

10.1109/ISCAS.1999.779937

Filename

779937