Title :
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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413830
