Adaptive image coding based on the discrete wavelet transform

Author

Jafarkhani, H. ; Farvardin, N. ; Lee, C.-C.

Author_Institution

Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA

Volume

3

fYear

1994

fDate

13-16 Nov 1994

Firstpage

343

Abstract

In this paper we present an adaptive discrete wavelet transform image coding scheme. The main contribution of the work is in developing a simple classification procedure which is used to classify the subband blocks into a finite number of classes. The classified subband blocks are subsequently encoded. The low frequency band is encoded by means of a 2-D DCT using entropy-coded trellis coded quantization (ECTCQ); other bands are directly encoded using ECTCQ. The peak signal-to-noise ratio results of the proposed adaptive system are 0.4-1.0 dB superior to those of its non-adaptive counterpart

Keywords

adaptive codes; discrete cosine transforms; entropy codes; image coding; quantisation (signal); trellis codes; wavelet transforms; 2D DCT; adaptive image coding; classification procedure; discrete wavelet transform; encoding; entropy-coded trellis coded quantization; low frequency band; peak signal-to-noise ratio; subband blocks; Adaptive systems; Bit rate; Discrete cosine transforms; Discrete wavelet transforms; Educational institutions; Frequency; Image coding; Inspection; PSNR; Rate-distortion;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413830

Filename

413830