Objective Quality Assessment of Tone-Mapped Images

Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best qu...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on image processing Ročník 22; číslo 2; s. 657 - 667
Hlavní autoři:	Yeganeh, H., Zhou Wang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.02.2013 Institute of Electrical and Electronics Engineers
Témata:	Applied sciences Brightness Correlation Detection, estimation, filtering, equalization, prediction Dynamic range Exact sciences and technology High dynamic range image image fusion Image processing image quality assessment Information, signal and communications theory naturalness perceptual image processing Quality assessment Sensitivity Signal and communications theory Signal processing Signal, noise structural similarity Telecommunications and information theory tone mapping operator Visualization Dynamic response perceptual image processing Similarity Image processing Objective analysis Image databank structural similarity Timbre Algorithm High dynamic range image Subjective evaluation Optimization Image quality HDR image Tone mapping Multiscale method naturalness Quality control image quality assessment Image fusion Image evaluation tone mapping operator
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!