Fast Search Approaches for Fractal Image Coding: Review of Contemporary Literature

Article ID

CSTGVP8191

Fast Search Approaches for Fractal Image Coding: Review of Contemporary Literature

Srinivasa Rao D
Srinivasa Rao D
Dr. Subhash Chandra N
Dr. Subhash Chandra N
DOI

Abstract

Fractal Image Compression (FIC) as a model was conceptualized in the 1989. In furtherance, there are numerous models that has been developed in the process. Existence of fractals were initially observed and depicted in the Iterated Function System (IFS), and the IFS solutions were used for encoding images. The process of IFS pertaining to any image constitutes much lesser space for recording than the actual image, which has led to the development of representation the image using IFS form, and how the image compression systems has taken shape. It is very important that the time consumed for encoding has to be addressed for achieving optimal compression conditions and predominantly the inputs that are shared in the solutions proposed in the study, depict the fact that despite of certain developments that has taken place, still there are potential chances of scope for improvement. From the review of exhaustive range of models that are depicted in the model, it is evident that over period of time, numerous advancements have taken place in the FCI model and is adapted at image compression in varied levels. This study focus on the existing range of literature on FCI and the insights of various models has been depicted in this study.

Fast Search Approaches for Fractal Image Coding: Review of Contemporary Literature

Fractal Image Compression (FIC) as a model was conceptualized in the 1989. In furtherance, there are numerous models that has been developed in the process. Existence of fractals were initially observed and depicted in the Iterated Function System (IFS), and the IFS solutions were used for encoding images. The process of IFS pertaining to any image constitutes much lesser space for recording than the actual image, which has led to the development of representation the image using IFS form, and how the image compression systems has taken shape. It is very important that the time consumed for encoding has to be addressed for achieving optimal compression conditions and predominantly the inputs that are shared in the solutions proposed in the study, depict the fact that despite of certain developments that has taken place, still there are potential chances of scope for improvement. From the review of exhaustive range of models that are depicted in the model, it is evident that over period of time, numerous advancements have taken place in the FCI model and is adapted at image compression in varied levels. This study focus on the existing range of literature on FCI and the insights of various models has been depicted in this study.

Srinivasa Rao D
Srinivasa Rao D
Dr. Subhash Chandra N
Dr. Subhash Chandra N

No Figures found in article.

Srinivasa Rao D. 2016. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F3): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 16 Issue F3
Pg. 37- 46
Classification
H.2.8
Keywords
Article Matrices
Total Views: 6923
Total Downloads: 1808
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Fast Search Approaches for Fractal Image Coding: Review of Contemporary Literature

Srinivasa Rao D
Srinivasa Rao D
Dr. Subhash Chandra N
Dr. Subhash Chandra N

Research Journals