Adaptive Image Compressive Sensing Using Texture Contrast
Joint Authors
Li, Ran
Sun, Fang
Xiao, Dongyue
He, Wei
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
The traditional image Compressive Sensing (CS) conducts block-wise sampling with the same sampling rate.
However, some blocking artifacts often occur due to the varying block sparsity, leading to a low rate-distortion performance.
To suppress these blocking artifacts, we propose to adaptively sample each block according to texture features in this paper.
With the maximum gradient in 8-connected region of each pixel, we measure the texture variation of each pixel and then compute the texture contrast of each block.
According to the distribution of texture contrast, we adaptively set the sampling rate of each block and finally build an image reconstruction model using these block texture contrasts.
Experimental results show that our adaptive sampling scheme improves the rate-distortion performance of image CS compared with the existing adaptive schemes and the reconstructed images by our method achieve better visual quality.
American Psychological Association (APA)
Sun, Fang& Xiao, Dongyue& He, Wei& Li, Ran. 2017. Adaptive Image Compressive Sensing Using Texture Contrast. International Journal of Digital Multimedia Broadcasting،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1165907
Modern Language Association (MLA)
Sun, Fang…[et al.]. Adaptive Image Compressive Sensing Using Texture Contrast. International Journal of Digital Multimedia Broadcasting No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1165907
American Medical Association (AMA)
Sun, Fang& Xiao, Dongyue& He, Wei& Li, Ran. Adaptive Image Compressive Sensing Using Texture Contrast. International Journal of Digital Multimedia Broadcasting. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1165907
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165907