Lossy image compression based on prediction error and vector quantisation

Lossy image compression based on prediction error and vector quantisation

Abstract Lossy image compression has been gaining importance in recent years due to the enormous increase in the volume of image data employed for Internet and other applications. In a lossy compression, it is essential to ensure that the compression process does not affect the quality of the image...

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Bibliographic Details
Main Authors: Mohamed Uvaze Ahamed Ayoobkhan, Eswaran Chikkannan, Kannan Ramakrishnan
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Image compression
Artificial neural network
Prediction errors
Vector quantization
Artificial bee colony algorithm and genetic algorithm
Online Access:http://link.springer.com/article/10.1186/s13640-017-0184-3

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http://link.springer.com/article/10.1186/s13640-017-0184-3

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