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  • 标题:Gaining high performance in images using advanced fractal image compression
  • 本地全文:下载
  • 作者:S.keerthika ; S.Vidhya
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:1216-1219
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:The exploit of digital images has increased in our day-to-day life. Photographs, printed text, and one-time hard copy converted into digital form. The quantity of data associated with visual information is consequently huge that its storage would need huge storage capacity. Similarly, significant degree of redundancy is present in the images and in many cases an image perceptually comparable but not equal to the original image. Image compression reduces the redundancy in images in order to store or transmit. The main aim of this paper is develop a high performance efficient new image compression algorithm using fractal image compression. However, fractal compression takes a large amount longer time to compress an image than to decompress it. During, encoding an image, for each range block the best matching domain block is searched with all domain blocks. This searching process is computationally expensive and takes long encoding time. To overcome this disadvantage a new proposed fractal image compression algorithm using biased distance method is used to improve the encoding time and improve its compression.
  • 关键词:fractal image compression; encoding ; time; search; and biased distance
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