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Carte VLSI Architectures for Image Compression Applications Venkata Ramanaiah Kota

VLSI Architectures for Image Compression Applications

Autor: Venkata Ramanaiah Kota
Limbă: engleză
Legare: Carte broșată
Editura: Scholars' Press
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
286.55 lei
The field of ANN is moving forward in the domain of image processing especially for image compressio...

Informații despre carte

Autor
Venkata Ramanaiah Kota
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2020
Pagini
120
EAN
9786138934769
ISBN
6138934768
Enbook ID
33019303
Editura
Scholars' Press
Greutate
197
Dimensiuni
150 x 220 x 7

Descriere completă

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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