BPG-Based Lossy Compression of Three-Channel Noisy Images with Prediction of Optimal Operation Existence and Its Parameters
Nowadays, there is a clear trend toward increasing the number of remote-sensing images acquired and their average size. This leads to the need to compress the images for storage, dissemination, and transfer over communication lines where lossy compression techniques are more popular. The images to b...
Main Authors: | Bogdan Kovalenko, Vladimir Lukin, Benoit Vozel |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/6/1669 |
Similar Items
-
Lossy Compression of Single-channel Noisy Images by Modern Coders
by: Sergii Kryvenko, et al.
Published: (2024-06-01) -
BPG-Based Lossy Compression of Three-Channel Remote Sensing Images with Visual Quality Control
by: Fangfang Li, et al.
Published: (2024-07-01) -
BPG-Based Automatic Lossy Compression of Noisy Images with the Prediction of an Optimal Operation Existence and Its Parameters
by: Bogdan Kovalenko, et al.
Published: (2022-07-01) -
BPG-based compression analysis of Poisson-noisy medical images
by: Victoriia Naumenko, et al.
Published: (2023-09-01) -
Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images
by: Fangfang Li, et al.
Published: (2022-04-01)