1 April 1997 Hybrid adaptive block truncation coding for image compression
Author Affiliations +
Optical Engineering, 36(4), (1997). doi:10.1117/1.601288
A hybrid adaptive block truncation coding (HABTC) method is presented to improve block truncation coding (BTC)-related compression methods for gray-level images. The basic idea behind the method is to use various coding schemes to take advantage of local image characteristics. A simple linear interpolation coding scheme and a very basic predictive coding scheme are used to improve the compression ratio of the homogeneous area of the image. Moreover, a four-level BTC, whose thresholds are obtained using a radius-weighted mean (RWM), is applied to encode the inhomogeneous area. The bits per pixel/peak SNR (bpp/PSNR) values listed in many other BTC-related papers are cited and compared with ours. It is found that reasonable compression ratio is obtained by the proposed HABTC method and the visual quality of the decoded images is also acceptable.
Ching-Yung Yang, Ja-Chen Lin, "Hybrid adaptive block truncation coding for image compression," Optical Engineering 36(4), (1 April 1997). http://dx.doi.org/10.1117/1.601288

Image compression

Image quality

Computer programming


Optical engineering


Volume rendering


An improved TLD with Harris corner and color moment
Proceedings of SPIE (February 08 2017)
Photonic measurement at the dawn of the twenty-first century
Proceedings of SPIE (September 26 1995)
Redundant logarithmic arithmetic for MPEG decoding
Proceedings of SPIE (October 26 2004)
Reversible watermarking for images
Proceedings of SPIE (June 22 2004)

Back to Top