Lossy Compression of Remote Sensing Images with Controllable Distortions

Vladimir Lukin; Alexander Zemliachenko; Sergey Krivenko; Benoît Vozel; Kacem Chehdi

doi:10.5772/intechopen.82361

ScienceGate Book Chapters

BOOK-CHAPTER

Lossy Compression of Remote Sensing Images with Controllable Distortions

Vladimir Lukin Alexander Zemliachenko Sergey Krivenko Benoît Vozel Kacem Chehdi

Year: 2019 IntechOpen eBooks Publisher: IntechOpen

DOI: 10.5772/intechopen.82361

Get Full-Text PDF Get Analytical Report

Abstract

International audience

Keywords:

Lossy compression Computer science Data compression Quantization (signal processing) Image compression Compression ratio Compression (physics) Data compression ratio Algorithm Peak signal-to-noise ratio Artificial intelligence Computer vision Image (mathematics) Image processing Engineering

Metrics

Cited By

1.05

FWCI (Field Weighted Citation Impact)

Refs

0.76

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Lossy Compression of Remote Sensing Images with Controllable Distortions

Abstract

Metrics

Citation History

Topics

Related Documents

Lossy Compression of Multichannel Remote Sensing Images with Quality Control

Automatic Adaptive Lossy Compression of Multichannel Remote Sensing Images

Lossy Compression of Three-Channel Remote Sensing Images with “Color” Component Downscaling

PRE-REQUISITES FOR SMART LOSSY COMPRESSION OF NOISY REMOTE SENSING IMAGES

Lossy Compression of Remote Sensing Images by Atomic Functions: DAC Improvements