Fractal image compression using iterated function system with probabilities

2002 ◽  
Author(s):  
S.K. Mitra ◽  
C.A. Murthy ◽  
M.K. Kundu ◽  
B.B. Bhattacharya
Keyword(s):  
Image Compression ◽  
Iterated Function System ◽  
Function System ◽  
Fractal Image Compression ◽  
Fractal Image ◽  
Iterated Function

A PROBABILISTIC POWER DOMAIN ALGORITHM FOR FRACTAL IMAGE DECODING

2002 ◽  
Vol 02 (02) ◽  
pp. 161-173
Author(s):  
V. DRAKOPOULOS ◽  
A. KAKOS ◽  
N. NIKOLAOU
Keyword(s):  
Complexity Analysis ◽  
Iterated Function System ◽  
Function System ◽  
Fractal Image ◽  
Power Domain ◽  
Iterated Function ◽  
Image Decoding

A new algorithm, called herein the random power domain algorithm, is discussed; it generates the image corresponding to an iterated function system with probabilities, a technique used in fractal image decoding. A simple complexity analysis for the algorithm is also derived.

scholarly journals Fractal Image Compression Using Block Indexing Technique: A Review

2020 ◽  
pp. 1798-1810
Author(s):  
Zainab J. Ahmed ◽  
Loay E. George ◽  
Zinah S. Abduljabbar
Keyword(s):  
Image Compression ◽  
Iterated Function System ◽  
Image Data ◽  
Main Concern ◽  
Affine Transformations ◽  
Fractal Image Compression ◽  
Fractal Image ◽  
Indexing Method ◽  
The Moment ◽  
Indexing Technique

Fractal image compression depends on representing an image using affine transformations. The main concern for researches in the discipline of fractal image compression (FIC) algorithm is to decrease encoding time needed to compress image data. The basic technique is that each portion of the image is similar to other portions of the same image. In this process, there are many models that were developed. The presence of fractals was initially noticed and handled using Iterated Function System (IFS); that is used for encoding images. In this paper, a review of fractal image compression is discussed with its variants along with other techniques. A summarized review of contributions is achieved to determine the fulfillment of fractal image compression, specifically for the block indexing methods based on the moment descriptor.  Block indexing method depends on classifying the domain and range blocks using moments to generate an invariant descriptor that reduces the long encoding time. A comparison is performed between the blocked indexing technology and other fractal image techniques to determine the importance of block indexing in saving encoding time and achieving better compression ratio while maintaining image quality on Lena image.

scholarly journals PERANCANGAN PERANGKAT LUNAK GENERATOR GAMBAR DAN MUSIK FRAKTAL DENGAN METODE ITERATED FUNCTION SYSTEM

2007 ◽  
Vol 1 (2) ◽  
pp. 140
Author(s):  
Tri Djoko Wahjono ◽  
Syaeful Karim ◽  
Bayu Riyadi
Keyword(s):  
Research Method ◽  
Iterated Function System ◽  
Function System ◽  
Clear Image ◽  
Fractal Image ◽  
Iterated Function ◽  
Art Research

Article presents analysis and analyze a software that utilize Geometry Fractal, especially Iterated FunctionSystem Fractal, as art. Research method that has been used in this research is by library study and by laboratoriumstudy to test the performance of the software. Result of the research has shown that converted music by GeometryFractal has various results, which depend on the parameters used in it and type of Geometry Fractal image produced.It can be said that usage of fractal in high iteration can produce clear image fractal and complicated music fractal.

Face Detection Based on the Theory of Fractal Compression

2014 ◽  
Vol 945-949 ◽  
pp. 1825-1829
Author(s):  
Qing Sen An ◽  
Yue Bin Chen ◽  
Jing Fan ◽  
Jin Long Wang
Keyword(s):  
Image Compression ◽  
Face Detection ◽  
Iterated Function Systems ◽  
Fractal Image Compression ◽  
Fractal Compression ◽  
Fractal Image ◽  
Iterated Function ◽  
The Face ◽  
Face Similarity

The face detection has been a very important issue, the use of local and global face similarity between faces can be detected. In this paper, based on fractal image compression theory, we construct a local iterated function systems as a description of the face to detect the face.

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