DocumentCode
2870603
Title
Image Compression Based on Truncated HOSVD
Author
Liu, Chang ; Zhou, Jiliu ; He, Kun
Author_Institution
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The paper presents a novel image compression technique. Inspired by High Order Singular Value Decomposition (HOSVD), the technique respects each image both gray image and color image as a high order tensor and discards singular sub-tensor corresponding smaller singular value to implement image compression. The paper also proves that HOSVD is naturally the extension of matrix SVD. The comparison experiments show that the image compression technique based on truncated HOSVD has better performance than JPEG.
Keywords
data compression; image coding; singular value decomposition; JPEG compression technique; high order singular value decomposition; image compression; truncated HOSVD technique; Bandwidth; Color; IEC standards; ISO standards; Image coding; Image storage; Matrix decomposition; Singular value decomposition; Tensile stress; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5366618
Filename
5366618
Link To Document