Department of Computer Science and Information Engineering, National United University, Miaoli City 36003, Taiwan.
Comput Math Methods Med. 2012;2012:935914. doi: 10.1155/2012/935914. Epub 2011 Oct 15.
High-efficiency, high-quality biomedical image compression is desirable especially for the telemedicine applications. This paper presents an adaptive coding pass scanning (ACPS) algorithm for optimal rate control. It can identify the significant portions of an image and discard insignificant ones as early as possible. As a result, waste of computational power and memory space can be avoided. We replace the benchmark algorithm known as postcompression rate distortion (PCRD) by ACPS. Experimental results show that ACPS is preferable to PCRD in terms of the rate distortion curve and computation time.
高效、高质量的生物医学图像压缩在远程医疗应用中尤为重要。本文提出了一种自适应编码通过扫描（ACPS）算法，用于最优的速率控制。它可以尽早识别图像的重要部分，并丢弃不重要的部分。这样可以避免浪费计算能力和存储空间。我们用 ACPS 替代基准算法，即后压缩率失真（PCRD）。实验结果表明，ACPS 在率失真曲线和计算时间方面优于 PCRD。
