Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images-Reference-Cited by-同舟云学术

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Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images

Published:2017-10-10 Issue: Volume: Page:
ISSN:
Container-title:Image and Signal Processing for Remote Sensing XXIII
language:
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Author:

Vozel Benoit,Kozhemiakin Ruslan A.,Abramov Sergey K.,Lukin Vladimir V.,Chehdi Kacem

Publisher

SPIE

Reference25 articles.

1. Schowengerdt, R., [Remote Sensing: Models and Methods for Image Processing, Third Edition], Academic Press, 560 p. (2006).

2. A Tutorial on Image Compression for Optical Space Imaging Systems

3. Spectral Distortion in Lossy Compression of Hyperspectral Data;Aiazzi;Journal of Electrical and Computer Engineering,2012

4. Still Image/Video Frame Lossy Compression Providing a Desired Visual Quality;Zemliachenko;Multidimensional Systems and Signal Processing,2015

5. Image compression systems on board satellites

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