کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
473981 698828 2006 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A binary partitioning approach to image compression using weighted finite automata for large images *
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
A binary partitioning approach to image compression using weighted finite automata for large images *
چکیده انگلیسی

Fractal-based image compression techniques give efficient decoding time with primitive hardware requirements, and favor real-time communication purposes. One such technique, the weighted finite automata (WFA), is studied on grayscale images. An improved image partitioning technique—the binary or bintree partitioning—is tested on the WFA encoding method. Experimental results show that binary partitioning consistently gives higher compression ratios than the conventional quadtree partitioning method for large images. Moreover, the ability to decode images progressively rendering finer and finer details can be used to display the image over a congested and loss-prone network such as the image transport protocol (ITP) for the Internet, as well as to pave way for multilayered error protection over an often unreliable networking environment. Also, the proposed partitioning approach can be parallelized to reduce its high encoding complexity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 51, Issue 11, June 2006, Pages 1705-1714