Fractal Image Encoding Using Fringe Based Property

Name: Fractal Image Encoding Using Fringe Based Property
Brand: LAP Lambert Academic Publishing
SKU: 9783659919398
Price: 172.87 RON
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Autor: Indu Aggarwal

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Editura: LAP Lambert Academic Publishing

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Fractal image encoding is one of the famous lossy encoding techniques ascertain high compression rat...

Informații despre carte

Autor

Indu Aggarwal

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

EAN

9783659919398

Enbook ID

13817291

Editura

LAP Lambert Academic Publishing

Greutate

124

Dimensiuni

150 x 220 x 5

Descriere completă

Fractal image encoding is one of the famous lossy encoding techniques ascertain high compression ratio, higher PSNR and good quality of encoded image. It is the approach that uses self similarity property in natural image.The main drawback of fractal image encoding is time consumption in search of appropriate domain for each range of image blocks.There have been various researches carried out to overcome the limitation of fractal encoding and to speed up the encoder.The neighborhood search strategy used in spatial domain reduces the encoding time from linear time to logarithmic time.The proposed algorithm used k-nearest neighbor search to find the similar edge shaped range and domain blocks to be mapped on the basis of DCT lowest coefficients in horizontal and vertical directions and then using similarity measure; the virtual codebook was prepared to encode the image and then decoded the image using averaging of pixels of selected domains. The proposed approach explained in this book is compared with the existing method and this work gave high PSNR value, high compression ratio and reduced MSE computations with little decay in image quality which is acceptable.

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Fractal Image Encoding Using Fringe Based Property

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