A new multiple description image coding scheme based on Compressive Sensing

Author(s):  
Danhua Liu ◽  
Dahua Gao ◽  
Guangming Shi
2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Jie Yang

Recent literature highlights the multiple description coding (MDC) as a promising method to solve the problem of resilient image coding over error-prone networks, where packet losses occur. In this paper, we introduce a novel multiple description wavelet-based image coding scheme using fractal. This scheme exploits the fractal’s ability, which is to describe the different resolution scale similarity (redundancy) among wavelet coefficient blocks. When one description is lost, the lost information can be reconstructed by the proposed iterated function system (IFS) recovering scheme with the similarity and some introduced information. Compared with the referenced methods, the experimental results suggest that the proposed scheme can achieve better performance. Furthermore, it is substantiated to be more robust for images transmission and better subjective quality in reconstructed images even with high packet loss ratios.


2013 ◽  
Vol 21 (3) ◽  
pp. 724-733 ◽  
Author(s):  
王良君 WANG Liang-jun ◽  
石光明 SHI Guang-ming ◽  
李甫 LI Fu ◽  
史思琦 SHI Si-qi

2021 ◽  
pp. 1-1
Author(s):  
Yihao Chen ◽  
Bin Tan ◽  
Jun Wu ◽  
Zhifeng Zhang ◽  
Haoqi Ren

Fractals ◽  
2009 ◽  
Vol 17 (02) ◽  
pp. 149-160 ◽  
Author(s):  
SHIGUO LIAN ◽  
XI CHEN ◽  
DENGPAN YE

In recent work, various fractal image coding methods are reported, which adopt the self-similarity of images to compress the size of images. However, till now, no solutions for the security of fractal encoded images have been provided. In this paper, a secure fractal image coding scheme is proposed and evaluated, which encrypts some of the fractal parameters during fractal encoding, and thus, produces the encrypted and encoded image. The encrypted image can only be recovered by the correct key. To maintain security and efficiency, only the suitable parameters are selected and encrypted through investigating the properties of various fractal parameters, including parameter space, parameter distribution and parameter sensitivity. The encryption process does not change the file format, keeps secure in perception, and costs little time or computational resources. These properties make it suitable for secure image encoding or transmission.


2010 ◽  
Author(s):  
Mark R. Pickering ◽  
Junyong You ◽  
Touradj Ebrahimi ◽  
Andrew Perkis

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