Adaptive image coding based on the discrete wavelet transform

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

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

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.

Original languageEnglish
Article number413830
Pages (from-to)343-347
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume3
DOIs
StatePublished - 1994
EventThe 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA
Duration: 13 Nov 199416 Nov 1994

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