Title :
Image Compression Based on Truncated HOSVD
Author :
Liu, Chang ; Zhou, Jiliu ; He, Kun
Author_Institution :
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
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;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5366618
