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This book attempts to develop a Low Power VLSI Architectures for Neural Network based Image Compression. The power is a very important criterion, since the neural network is a parallel massive structure and hence consumes more power. Hence in this book it is explained to develop, design and implement dedicated low power VLSI architectures for image compression based on neural networks, optimizing for speed, area and power. In this book it is also explained new architecture for Neural Network based image compression for ASIC implementation. The results for different architectures are also...

The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these...