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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页数：2

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