Conference Paper

Practical low bit rate predictive image coder using multi-rate processing and adaptive entropy coding

Dept. of Telecommun., NTNU, Trondheim, Norway
DOI: 10.1109/ICIP.2004.1421789 Conference: Image Processing, 2004. ICIP '04. 2004 International Conference on, Volume: 5
Source: IEEE Xplore


The modified differential pulse coded modulation (DPCM) codec with multi-rate processing has been shown to able to efficiently code the source with monotonically decreasing spectrum at low bit rates [A.N. Kim and T.A. Ramstad]. A practical image coder is designed based on this approach. Two dimensional DPCM is used along with decimation and interpolation to reduce the number of transmitted samples. The decimation rate depends on the signal spectrum and the bit rate. Further bit rate reduction is achieved through adaptive entropy coding. Wiener filter is appended in the decoder for minimizing distortion caused by quantization noise. The decimation filter can be implemented using simple IIR filters. The necessary side information is low. Simulation results show that the coder is able to give good compression performance at low bit rates which is superior to conventional DPCM codec and JPEG. Subjective quality can be as good as JPEG2000. While at very low bit rates the proposed codec is able to retain certain image characteristics better than JPEG2000.

8 Reads
  • Source
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: A joint source channel coding scheme for error resilient image transmission is proposed. A practical image coder was introduced in AN Kim et al, (2004) using modified differential pulse coded modulation (DPCM) codec with multi-rate processing and adaptive entropy coding. In this paper the residual redundancy of the prediction error image is exploited by using turbo codes for both data compression and error protection. In the paper we deal with robust transmission of the source over a BSC channel, but the results can be easily extended for non binary channels. Note also that simple modification of the quantizer allows for progressive transmission and successive refinement of information. With properly chosen rate and puncturing, the system is able to approach the limit theoretically attainable and to outperform the separated approach that consists on the concatenation of the system in AN Kim et al, (2004) and the best turbo codes for the same spectral efficiency.
    Image Processing, 2005. ICIP 2005. IEEE International Conference on; 10/2005

Preview (5 Sources)

8 Reads
Available from