Novel Fitness Function for 3D Image reconstruction using Bat Algorithm based Autoencoder

被引：1
|
作者：
Kuppili, Venkatanareshbabu [1 ]
Edla, Damodar Reddy [1 ]
Bablani, Annushree [1 ]
机构：
[1] Natl Inst Technol Goa, Farmagudi, Goa, India
来源：
WEB3D 2018: THE 23RD INTERNATIONAL ACM CONFERENCE ON 3D WEB TECHNOLOGY | 2018年
关键词：
Image; Reconstruction; Autoencoder; BAT algorithm;
D O I：
10.1145/3208806.3211218
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With a view to investigate, examine and analyze the performance of 3D medical image compression based on Autoencoder neural networks, a novel algorithm named autoimage reconstruct algorithm is developed, which is based on recent BAT bioinspired algorithm with a novel fitness function as Mean Square Error. It is observed that proposed algorithm outperforms existing algorithms like wavelet-based encoding and decoding for image compression and reconstruction in terms of Mean Square Error, Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR).
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