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2021 | OriginalPaper | Buchkapitel

A Fast Method for Visual Quality Prediction and Providing in Image Lossy Compression by SPIHT

verfasst von : Fangfang Li, Sergey Krivenko, Vladimir Lukin

Erschienen in: Integrated Computer Technologies in Mechanical Engineering - 2020

Verlag: Springer International Publishing

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Abstract

Wavelet-based image compression techniques, in particular, SPIHT have an obvious advantage of providing a desired compression ratio. However, for a given compression ratio, quality can vary in wide limits and it can be unsatisfactory for a given image, especially if it is highly textural. Then, one needs to choose and set another compression ratio providing an appropriate quality of the compressed image. Often, this adaptation should be done quickly and with providing high accuracy of reaching a desired quality. In this paper, we propose a fast and efficient approach to predict quality of images compressed by SPIHT using two favorable facts. Firstly, a fast procedure of quality prediction has been proposed for the coder AGU based on discrete cosine transform. Secondly, performance characteristics of SPIHT and AGU are quite similar. This allows recalculating predictions obtained for AGU to predictions for SPIHT and decision undertaking concerning parameters of image encoding by SPIHT.

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Vorheriges Kapitel Synthesis Method of Robust Neural Network Models of Systems and Processes

Nächstes Kapitel A Fast and Efficient Method for Time Delay Estimation for the Wideband Signals in Non-gaussian Environment

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Titel: A Fast Method for Visual Quality Prediction and Providing in Image Lossy Compression by SPIHT
verfasst von: Fangfang Li
Sergey Krivenko
Vladimir Lukin
Verlag: Springer International Publishing
Buch: Integrated Computer Technologies in Mechanical Engineering - 2020
Print ISBN: 978-3-030-66716-0

Electronic ISBN: 978-3-030-66717-7

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-66717-7_2

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