A new method of improving fractal image compression by combining block classification and quadratic tree division

Subject Areas : Electronics Engineering

Jaleh Molaye Zahedi ¹ , Hamid Dehghani ² , Alireza Malahzadeh ³

1 - Department of Electrical Engineering, Islamic Azad University, Bushehr Branch, Bushehr , Iran
2 - Assistant Professor, Malek Ashtar University of Technology
3 - Department of Electrical Engineering, Islamic Azad University, Bushehr Branch, Bushehr , Iran

Received: 2021-04-27 Accepted : 2021-04-27 Published : 2019-07-23

Keywords:

Abstract :

Here, to improve the quality of the reconstructed image, a kind of fractal compression method is proposed, which is based on block classification and quadratic tree segmentation. First, the image is divided by an adaptive quadruple tree method. Sub-blocks are then classified at each level. Experimental results show that the image reconstructed and amplified by this method has a higher peak-to-peak signal-to-noise ratio (PSNR) and a better visual effect than the adaptive quadratic splitting method, while the compression ratio Has also increased.