A New Algorithm for Fractal Coding Using Self Organizing Map | Science Publications

Journal of Computer Science

k. Thanushkodi¹  S. Bhavani¹ 

关键词: Fractal image compression;    patterns appeared nearly;    shows blocking artifacts;    maximum possible values;    arithmetic mean;    standard fractal image;   

DOI  :  10.3844/jcssp.2012.841.845

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: In medical imaging, lossy compression schemes are generally not used due to possible loss of useful clinical information and also degradations may result in lossy compression owing to operations like enhancement. As the medical images are huge in size a good lossy compression technology is required to store them in medical archives in an economical manner. There is a need for efficient compression schemes for medical image data. Approach: We had addressed the possibility of using fractal image compression for compressing medical images in our work. We had proposed a novel quasi-losses fractal coding scheme, which would preserve important feature rich portions of the medical image as the domain blocks and generate the remaining part of the image from it using fractal transformations. This study addresses a machine learning based model using SOM to improve the performance and also to reduce the encoding computational complexity. Results: The performance of the proposed algorithm was evaluated in terms of compression ratio, PSNR and encoding computation time, with standard fractal coding for MRI image datasets of size 512

【 授权许可】

Unknown