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....

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 42; číslo 4; s. 1013 - 1019
Hlavní autori:	Punnappurath, Abhijith, Brown, Michael S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!