An adaptive block truncation coding method is proposed.
本文提出一种自适应分块截断编码方法。
Block truncation coding (BTC) is a fast lossy image compression technique.
块截短编码(BTC)是一种基块的快速有损图象压缩技术。
Block truncation coding (BTC) is an efficient and fast lossy image coding technique.
块截短编码(BTC)是一种快速有效的有损图像编码技术。
This method is based on the techniques of block truncation coding and vector quantization.
该方法是以分块截断编码技术和矢量量化技术为基础的编码方法。
A method is presented here for color image compression which is based on efficient combination of Block Truncation coding (BTC) and Principal Component Analysis (PCA).
本文提出的彩色图象压缩方法基于BTC(块截断编码)和PCA(主成分分析)的有效结合。
An adaptive rate control algorithm based on significant priority is presented for embedded block coding with optimized truncation.
针对优化截取内嵌块编码提出一种基于重要性权值的自适应率控制算法。
T2 encoder sends feedback to control the coding depth by the accumulated bit rate and complete the rate-distortion optimization truncation.
T2编码器由已编码比特率自适应地反馈控制编码深度，完成优化截取。
Compared with the standard post-coding rate distortion (PCRD) algorithm, the proposed algorithm has no spending in calculating rate-distortion slope and searching for optimum truncation points.
与标准的率失真(PCRD)优化算法相比，该算法不会在计算码率失真斜率和搜索最优分层截断点时产生运算开销。
Compared with the standard post-coding rate distortion (PCRD) algorithm, the proposed algorithm has no spending in calculating rate-distortion slope and searching for optimum truncation points.
与标准的率失真(PCRD)优化算法相比，该算法不会在计算码率失真斜率和搜索最优分层截断点时产生运算开销。
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