VLSI Architectures for Image Compression Applications: Implementing Image Processing with FPGA - Brossura

Mukkara, Lakshmi Kiran; Kota, Venkata Ramanaiah

 
9786138934769: VLSI Architectures for Image Compression Applications: Implementing Image Processing with FPGA
Brossura
ISBN 10: 6138934768 ISBN 13: 9786138934769
Casa editrice: Scholars' Press, 2020

Sinossi

The field of ANN is moving forward in the domain of image processing especially for image compression and image enhancement. Software implementation of neural network architecture lacks the efficiency for commercial products, as they constrain the speed, increase area and predominantly the power. Hence there is always a need in developing mapping complex neural network architectures for image compression on hardware platforms. Hardware implementation of any complex architecture for commercial applications should be emphasized on reduction in power. Multi Layer Perceptron Neural Network structures have massive complex internal architectures, require more number of arithmetic units and consume large amount of power and area. Thus, power optimization techniques are needed to be designed. This can be possible either at architecture level or at algorithmic level or at physical level.The main objective of this research work is to design and optimize image compression algorithms using neural networks, and which should be compatible with hardware platforms for efficient implementation of these architectures with FPGA & ASIC.

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Editore
Scholars' Press
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
6138934768
ISBN 13 
9786138934769
Rilegatura
Copertina flessibile
Numero di pagine
120
Contatto del produttore
non disponibile
Persona responsabile
non disponibile