Learning Raw Image Reconstruction-Aware Deep Image Compressors

Deep learning-based image compressors are actively being explored in an effort to supersede conventional image compression algorithms, such as JPEG. Conventional and deep learning-based compression algorithms focus on minimizing image fidelity errors in the nonlinear standard RGB (sRGB) color space....

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 42; no. 4; pp. 1013 - 1019
Main Authors:	Punnappurath, Abhijith, Brown, Michael S.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithms Calibration Cameras Compressors Computer vision Deep learning deep learning-based image compression Image coding Image compression Image reconstruction JPEG encoders-decoders Machine learning radiometric calibration raw image reconstruction Table lookup Transform coding
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!