利用粒子群算法分析生物医学图像压缩技术的性能

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI:10.1109/ICACAT.2018.8933792

J. Maurya, Aanchal Thakur, D. Rathore

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引用次数: 0

摘要

数字图像具有多个参数的特征。医学是图像压缩最有趣的领域之一，实际上与卫生保健部门有关。通过测量峰值信噪比、压缩比等性能评价参数，提出了一种生物医学图像压缩比较模型，该模型的压缩效果较好。利用这些图像完成所有的实验过程，最后对所有结果进行比较，评价性能参数，为所设计的提出的技术选择最佳的性能参数值。

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Analyze the Performance of Bio-Medical Image Compression Technique using Particle Swarm Optimization

Digital images are characterized by multiple parameters. Medical science is one of the most interesting fields for the image compression actually related to the health care sector unit. We proposed a comparative model for the Bio-medical image compression which is better in the terms of result by measuring performance evaluation parameters to increase the value of Peak Signal Noise Ratio, Compression ratio etc. The all experimental process done with these images and finally we compare the all result evaluation performance parameter and chosen the best performance parameter value for the designed proposed techniques.

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2018 International Conference on Advanced Computation and Telecommunication (ICACAT)

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