Apply a correction plan to the domain pond to increase the speed and improve the fractal compression quality of the image

Subject Areas : Electronics Engineering

Jaleh Molaei Zahedi ¹ ( Department of Electrical-Electronic Engineering, Faculty of Graduate Studies, Bushehr Azad University )
Hamid Dehghani ² ( Assistant Professor, Malek Ashtar University of Technology )
Alireza Malahzadeh ³ ( Assistant Professor of Persian Gulf University )

Received: 2021-01-02 Accepted : 2021-01-02 Published : 2020-01-21

Keywords:

Abstract :

Here we present a correction domain pond design for fractal image compression. The plan modifies the domain pool for each block of the board, based on the position of that board. So a more efficient and smaller domain library is created for each page. This method reduces the computational load and reduces the bits required to store the domain position. The results of various experiments on standard images show that this method has a much lower degree of distortion and a much lower computational load.

References:

[1] M. F. Barnsley” Fractal Image Compression” A. K. Peters,Ltd., Wellesly, MA, 1993.

[2] Kin-Wah Ching Eugene and Ghim-Hwee Oug,“A Twopass Improved Encoding Scheme for Fractal Image Compression ”  ,Proceedings of the International conference on Computer Graphics, Imaging and Visualization, IE

 

EE,2006.

[3] M.Polvere and M.Nappi, “Speed-Up in Fractal Image

Coding: Comparison of Methods”, IEEE Transactions on

Image Processing, vol.9, No.6, pp.1002-1009, June 2000

[4] C.M.Lai, K.M.Lam, and W.C.Siu, “Improved Searching

Scheme for Fractal Image Coding”, Electronics Letters, vol.38, No.25, pp.153-54, Dec.2009.

[5] Y. Fisher” Fractal Image Compression. Theory and

Application”s. Springer-Verlag, New York, USA, 1995.

[6] C. Tong and M. Pi, “Fast Fractal Image compression using Adaptive  Search” IEEE Trans. on IP, vol.10, no.9, pp.1269- 1277, Sep. 2010.

[7] S. K. Mitra, C. A. Murthy, and M. K. Kundu, “Technique for fractal image compression using genetic algorithm,” IEEE Trans. Image Processing, vol. 7, pp. 586–592, Apr. 2008.

[8] Dipankar Dasgupta, German Hernandez, and Fernando

Niño, “An Evolutionary Algorithm for Fractal Coding of Binary Images”, IEEE Transactions on Evolutionary Computation, vol. 4, no. 2, July 2010.

[9] Yong Ho Moon, Hyung Soon Kim, Jae Ho Kim, “A fast fractal decoding algorithm based on the selection of an initial image,” IEEE Transaction on image Processing, 9(5), pp. 941-945 ,  2000.

[10] C.K. Lee, and W.K. Lee, “Fast fractal image block coding based on local variances,” IEEE Transaction on Image Processing, vol. 7, no. 6, pp. 888-891, 1998.

[11] R. Hamzaoui, D. Saupe, and M. Hiller, “Distortion minimization with fast local search for fractal image compression,” J. Vis. Common. Image Represent., no. 12, pp. 450–468, Dec. 2001.