- 期刊
- OpenAccess
A Survey on Image Compression using Burrows Wheeler Transform
摘要
This paper is a methodological review paper on image compression using Burrows Wheeler Transform. Normally BWT is used for text compression but it has been recently applied to image compression field. Basically it is a lossless compression technique which is used for high level resolution. This paper proposes about several scheme added with BWT to improve the performance of image compression which helps us to formulate a new technique for the further improvement in BWT. Here many authors have different type of representation of BWT for better compression.
延伸閱讀
- Chan, H. Y. (1999). Image compression by using mathematical transform [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200006539
- Zhong, J. M. (2000). Application of wavelets in image compression [doctoral dissertation, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200016078
- 林俊宏、陳飛欽（2010）。A Lossless Image Compression Algorithm Based on Wavelet Transform。中華科技大學學報，(43)，95-103。https://doi.org/10.7095/JCUST.201004.0095
- Chen, Y. T. (2015). Image Compression Based on Wavelet Transform with Fuzzy Inference. 影像處理暨通訊期刊, 7(1), 4-8. https://www.airitilibrary.com/Article/Detail?DocID=P20121109003-201512-201602250014-201602250014-4-8
- 林俊宏（2000）。Research of General-Purpose Image Compression Algorithm。中華技術學院學報，(20)，81-87。https://doi.org/10.7095/JCIT.200003.0081