Adaptive compressive sensing of images using error between blocks

Block compressive sensing of image results in blocking artifacts and blurs when reconstructing images. To solve this problem, we propose an adaptive block compressive sensing framework using error between blocks. First, we divide image into several non-overlapped blocks and compute the errors betwee...

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Main Authors: Ran Li, Xiaomeng Duan, Yongfeng Lv
Format: Article
Language:English
Published: Wiley 2018-06-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718781751
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author Ran Li
Xiaomeng Duan
Yongfeng Lv
author_facet Ran Li
Xiaomeng Duan
Yongfeng Lv
author_sort Ran Li
collection DOAJ
description Block compressive sensing of image results in blocking artifacts and blurs when reconstructing images. To solve this problem, we propose an adaptive block compressive sensing framework using error between blocks. First, we divide image into several non-overlapped blocks and compute the errors between each block and its adjacent blocks. Then, the error between blocks is used to measure the structure complexity of each block, and the measurement rate of each block is adaptively determined based on the distribution of these errors. Finally, we reconstruct each block using a linear model. Experimental results show that the proposed adaptive block compressive sensing system improves the qualities of reconstructed images from both subjective and objective points of view when compared with image block compressive sensing system.
format Article
id doaj-art-588df34d34294d46a2657faad3eb4a48
institution OA Journals
issn 1550-1477
language English
publishDate 2018-06-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-588df34d34294d46a2657faad3eb4a482025-08-20T02:05:23ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-06-011410.1177/1550147718781751Adaptive compressive sensing of images using error between blocksRan Li0Xiaomeng Duan1Yongfeng Lv2School of Computer and Information Technology, Xinyang Normal University, Xinyang, ChinaSchool of Computer and Information Technology, Xinyang Normal University, Xinyang, ChinaSchool of Media, Xinyang Normal University, Xinyang, ChinaBlock compressive sensing of image results in blocking artifacts and blurs when reconstructing images. To solve this problem, we propose an adaptive block compressive sensing framework using error between blocks. First, we divide image into several non-overlapped blocks and compute the errors between each block and its adjacent blocks. Then, the error between blocks is used to measure the structure complexity of each block, and the measurement rate of each block is adaptively determined based on the distribution of these errors. Finally, we reconstruct each block using a linear model. Experimental results show that the proposed adaptive block compressive sensing system improves the qualities of reconstructed images from both subjective and objective points of view when compared with image block compressive sensing system.https://doi.org/10.1177/1550147718781751
spellingShingle Ran Li
Xiaomeng Duan
Yongfeng Lv
Adaptive compressive sensing of images using error between blocks
International Journal of Distributed Sensor Networks
title Adaptive compressive sensing of images using error between blocks
title_full Adaptive compressive sensing of images using error between blocks
title_fullStr Adaptive compressive sensing of images using error between blocks
title_full_unstemmed Adaptive compressive sensing of images using error between blocks
title_short Adaptive compressive sensing of images using error between blocks
title_sort adaptive compressive sensing of images using error between blocks
url https://doi.org/10.1177/1550147718781751
work_keys_str_mv AT ranli adaptivecompressivesensingofimagesusingerrorbetweenblocks
AT xiaomengduan adaptivecompressivesensingofimagesusingerrorbetweenblocks
AT yongfenglv adaptivecompressivesensingofimagesusingerrorbetweenblocks