Compressive Sensing and Recovery of Image using Uniform Block Sparsity

被引：0
|
作者：
Sharma, Narayan [1 ]
Pandey, Rajoo [1 ]
机构：
[1] NIT Kurukshetra, Dept ECE, Kurukshetra, Haryana, India
来源：
2018 3RD INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT) | 2018年
关键词：
Block image; Compressive sensing; DCT matrix; Sparsity; SIGNAL RECOVERY;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a method for compressive sensing and recovery of gray image from the samples has been proposed. To achieve this, the concept of image partitioning (Block Processing) with compressive sensing has been used. The proposed method reduces the computational complexity of the algorithm. Further, the computational time required by the proposed method is 1/9th of the time achieved by the conventional method and can be further decreased by parallel processing.
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页数：5
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