Title :
Nearly optimum multilevel block truncation coding based on a mean absolute error criterion
Author :
Kuo, Chun-Hung ; Chen, Chang-Fuu
Author_Institution :
Dept. of Electr. Eng., Tatung Inst. of Technol., Taipei, Taiwan
Abstract :
A new generalized multilevel block truncation coding (BTC) algorithm based on a mean absolute error criterion is proposed. The proposed multilevel BTC algorithm requires only additions/subtractions to segment a block into desired regions. The simulation results indicate that the mean absolute error and peak signal-to-noise ratio (PSNR) of the algorithm is very close to those of the optimum BTC. The performance of the algorithm is superior to other multilevel BTC algorithms that have been proposed, both in image quality and in computational complexity.
Keywords :
coding errors; computational complexity; error statistics; image coding; image segmentation; additions; computational complexity; image coding; image quality; image regions; image segmentation; mean absolute error criterion; multilevel BTC algorithm; optimum multilevel block truncation coding; peak signal to noise ratio; performance; simulation results; subtractions; Bit rate; Computational complexity; Computational modeling; Image quality; Image segmentation; Modulation coding; PSNR; Pulse compression methods; Pulse modulation; Vector quantization;
Journal_Title :
Signal Processing Letters, IEEE
