DocumentCode :
3201202
Title :
A New Image Compression Method Based on Primal Sketch Model
Author :
Li, Zheng ; Gao, Ruxin ; Guo, Chengen ; Dong, Junyu
Author_Institution :
Huazhong Univ. of Sci. & Technol., Hubei
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
1451
Lastpage :
1454
Abstract :
In this paper, we introduce the primal sketch model which might lead to a new image compression method. The primal sketch model integrates two modeling schemes for two type components in natural images: the sketchable and the non-sketchable parts. The sketchable part explains the structural components of the image by using a hidden layer of image primitives. The non-sketchable part denotes the remaining textural components without distinguishable elements by Markov random field models for texture images. The primitives in the image representation are not independent but organized as a sketch graph. The whole image can be coded by a sketch graph with a primitive dictionary and texture descriptors. Such a lossy coding scheme could achieve the compression ratio of 20 to 40 for natural images. With the similar visual effect, the coding length of JFEG2000 is about 1.5 to 3 times higher. This promising compression method could be applied to some situations such as wireless transmission where the bandwidth is critical and low quality images are still acceptable.
Keywords :
Markov processes; data compression; image coding; image representation; image texture; JFEG2000; Markov random field models; image compression; image primitives; image quality; image representation; image texture; primal sketch model; primitive dictionary; sketch graph; texture descriptors; Bandwidth; Dictionaries; Image coding; Image representation; Image segmentation; Image storage; Markov random fields; Mathematical model; Pixel; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
Type :
conf
DOI :
10.1109/ICME.2007.4284934
Filename :
4284934
Link To Document :
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