Compressive Sensing and Chaos-Based Image Compression Encryption

2017 ◽  
pp. 373-392 ◽  
Author(s):  
R. Ponuma ◽  
R. Amutha
Keyword(s):  
Image Compression ◽  
Compressive Sensing

scholarly journals Fast Transforms in Image Processing: Compression, Restoration, and Resampling

2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
Leonid P. Yaroslavsky
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Image Restoration ◽  
Compressive Sensing ◽  
Adaptive Filters ◽  
Processing Methods ◽  
Fast Transforms ◽  
Image Transforms

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s. The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive and local adaptive filters for image restoration and up to “compressive sensing” methods that gained popularity in last few years. References are made to both first publications of the corresponding results and more recent and more easily available ones. The review has a tutorial character and purpose.

Perceptual rate-distortion optimized image compression based on block compressive sensing

2016 ◽  
Vol 25 (5) ◽  
pp. 053004 ◽  
Author(s):  
Jin Xu ◽  
Yuansong Qiao ◽  
Quan Wen ◽  
Zhizhong Fu
Keyword(s):  
Image Compression ◽  
Compressive Sensing ◽  
Rate Distortion
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