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  • In Jour Smart Sensing And Intelligent Systems

 

Article | 01-March-2015

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was

Qiuchan Bai, Chunxia Jin

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 159–180

Article | 01-June-2016

REVERSIBLE WATERMARKING AUTHENTICATION ALGORITHM FOR COLOR IMAGES BASED ON COMPRESSED SENSING

Aiming at the shortcomings of existing reversible watermarking for image authentication, such as poor ability of tamper detection and localization, and low attention of reconstruction after tampering, a reversible watermarking authentication algorithm based on compressed sensing for color image was proposed. On the side of the sender, the original image has been divided into blocks and carried out compressed sensing to generate image hash which works as the watermark information, and was

Dong Ruihong, Zuo Hangzhou, Zhang Qiuyu, Wu Dongfang

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1073–1089

Article | 01-June-2016

A COMPREHENSIVE REVIEW ON THE IMPACT OF COMPRESSED SENSING IN WIRELESS SENSOR NETWORKS

Sensor networking is a promising technology that facilitates the monitoring of the physical world using tiny, inexpensive wireless devices that are spatially distributed across a wide region. These networks are highly constrained in power, computational capacities and memory. Incorporation of techniques based on the concept of Compressed Sensing (CS) which aims to encode sparse signals using a much lower sampling rate than the traditional Nyquist approach has revolutionized the wireless network

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 818–844

Article | 01-June-2016

MULTI-SCALE COMPRESSED SENSING BASED ON SPLIT AUGMENTED LAGRANGIAN SHRINKAGE ALGORITHM FOR IMAGE SUPER-RESOLUTION RECONSTRUCTION

This paper proposes a multi-scale compressed sensing algorithm in shearlet domain by exploiting discrete Shearlet transform which can optimally represent the images with edges. An image is decomposed by shearlet. The compressed sensing is deployed in each of the directional sub-bands of high frequency scales. And inverse measurement matrix is modified by the upsampling operator to enhance the resolution of image. In addition, the original image reconstructed by compressed sensing based on super

Tian Shu-yao, Hu Chun-hai

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 563–579

Article | 01-December-2016

WEAK GPS ACQUISITION VIA COMPRESSED DIFFERENTIAL DETECTION USING STRUCTURED MEASUREMENT MATRIX

Quality of the acquisition algorithm is the main criteria for assessment of the GPS receiver. Compressed sensing has been used recently in the GPS signal acquisition process to improve the acquisition sensitivity and find visible satellites in the two dimensional search space. In this paper, strategies for constructing the GPS Dictionary matrix using different measurement matrices are analyzed for weak signal conditions. Conventional acquisition methods use pure random or Bernoulli measurement

G.Arul Elango, Gnanou Florence Sudha

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1877–1899

Research Article | 27-December-2017

IMPROVED MEASURE ALGORITHM BASED ON CoSaMP FOR IMAGE RECOVERY

Guohui Wu, Xingkun Li, Jiyang Dai

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 724–739

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