An adaptive coding pass scanning algorithm for optimal rate control in biomedical images.
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.
Department of Computer Science and Information Engineering, National United University, Miaoli City 36003, Taiwan.
Hsi-Chin
HC
Hsin
Tze-Yun
TY
Sung
Yaw-Shih
YS
Shieh
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003952:Diagnostic Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D015233:Models, Statistical; D011247:Pregnancy; D013902:Radiography, Thoracic / Q000379:methods; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods; D016216:Ultrasonography, Prenatal / Q000379:methods