Digital Image Compression Using Improved Genetic Algorithm

نویسندگان

  • Shailesh Saxena
  • R. P. Singh
چکیده

Improved genetic algorithm increase the compression ratio and rate of digital image. The improved genetic algorithm process the parallel selection of transform block in multiple sequence. For the transformation of image data used the fractal transform function. The fractal transform function gives the non-overlapping blocks of given image. The dimension and transform of image mapped in second dimension. The improved genetic algorithm process of data based on reference direction of image. The direction of image divide into three section horizontal, vertical and diagonal.The proposed algorithm is simulated in MATLAB software and used standard image dataset such as Leena, Barbra and cameraman. For the evaluation of the performance measure the value of PSNR and compression ratio.

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تاریخ انتشار 2016