Fractal image coding using rate-distortion optimized matching pursuit

Author(s):  
Mohammad Gharavi-Alkhansari ◽  
Thomas S. Huang
Fractals ◽  
1994 ◽  
Vol 02 (03) ◽  
pp. 395-398 ◽  
Author(s):  
STUART J WOOLLEY ◽  
DONALD M MONRO

We study the fidelity/compression performance of fractal image coding, and evaluate the merits or otherwise of a number of complexity options. We can first of all choose a quantization scheme for the transmission of coefficients which limits the code alphabet, according to permissible degradations. This alphabet can then be entropy coded to eliminate redundancy so that the compression efficiency of a range of implementation options can be studied and related to objective and subjective measures of degradation. We find rotations and reflections of little value. A limited degree of searching may be of benefit within image regions of high edge value, but in general more is gained by using a higher order fractal function than by searching.


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.


2012 ◽  
Vol 21 (1) ◽  
pp. 010502 ◽  
Author(s):  
Ching-Hung Yuen ◽  
Kwok-Wo Wong

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