Split decision functions in fractal image coding

作     者：Distasi, R Polvere, M Nappi, M 

作者机构：Univ Salerno Dipartimento Informat & Applicaz RM Capocelli I-84081 Baronissi SA Italy 

出 版 物：《ELECTRONICS LETTERS》 (电子学快报)

年 卷 期：1998年第34卷第8期

页      面：751-753页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：fractal image coding Pattern recognition variable bit rates encoding process speedup image quality data compression Codes Combinatorial mathematics quadtree partitions quadtrees entropy based split decision function image coding Optical information, image and video signal processing entropy adaptive thresholds Computer vision and image processing techniques image compression fractals Information theory 

摘      要：Quadtree partitions are often used in fractal image compression to achieve variable bit rates. The authors present an entropy based split decision function that can improve image quality and speed up the encoding process. Furthermore, other widespread split decision functions are discussed, along with the advantages offered by adaptive thresholds.