An efficient implementation method of fractal image compression on dynamically reconfigurable architecture

1999 ◽  
pp. 670-678 ◽  
Author(s):  
Hidehisa Nagano ◽  
Akihiro Matsuura ◽  
Akira Nagoya
Keyword(s):  
Image Compression ◽  
Efficient Implementation ◽  
Reconfigurable Architecture ◽  
Fractal Image Compression ◽  
Dynamically Reconfigurable ◽  
Fractal Image ◽  
Implementation Method ◽  
Dynamically Reconfigurable Architecture

HyDRA: Hybrid Dynamically Reconfigurable Architecture for DSP Applications

2016 ◽  
Vol E99.C (7) ◽  
pp. 866-877 ◽  
Author(s):  
Abdulfattah M. OBEID ◽  
Syed Manzoor QASIM ◽  
Mohammed S. BENSALEH ◽  
Abdullah A. ALJUFFRI
Keyword(s):  
Reconfigurable Architecture ◽  
Dynamically Reconfigurable ◽  
Dsp Applications ◽  
Dynamically Reconfigurable Architecture

Efficient Domain Search for Fractal Image Compression Using Feature Extraction Technique

2012 ◽  
Vol 488-489 ◽  
pp. 1587-1591
Author(s):  
Amol G. Baviskar ◽  
S. S. Pawale
Keyword(s):  
Feature Extraction ◽  
Image Compression ◽  
Low Complexity ◽  
Contractive Mapping ◽  
Fractal Image Compression ◽  
Compression Technique ◽  
Image Encoding ◽  
Fractal Image ◽  
Coding Method ◽  
The Given

Fractal image compression is a lossy compression technique developed in the early 1990s. It makes use of the local self-similarity property existing in an image and finds a contractive mapping affine transformation (fractal transform) T, such that the fixed point of T is close to the given image in a suitable metric. It has generated much interest due to its promise of high compression ratios with good decompression quality. Image encoding based on fractal block-coding method relies on assumption that image redundancy can be efficiently exploited through block-self transformability. It has shown promise in producing high fidelity, resolution independent images. The low complexity of decoding process also suggested use in real time applications. The high encoding time, in combination with patents on technology have unfortunately discouraged results. In this paper, we have proposed efficient domain search technique using feature extraction for the encoding of fractal image which reduces encoding-decoding time and proposed technique improves quality of compressed image.

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