Image Quality Assessment Based on Gradient Similarity

In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and are crucial to scene understanding. Using such information, structural and contrast changes can be effectively captured. Therefore, we use th...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on image processing Ročník 21; číslo 4; s. 1500 - 1512
Hlavní autori:	Anmin Liu, Weisi Lin, Narwaria, M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2012
Predmet:	Algorithms Contrast masking gradient similarity human visual system (HVS) Image coding Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image quality image quality assessment (IQA) Pattern Recognition, Automated - methods Quality Control Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted structural similarity (SSIM) Subtraction Technique Transform coding Visualization White noise
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!