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Quality assessment of image patches distorted by image compression using crowdsourcing
- Source :
- ICME
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Three experiments addressing the assessment of perceived image quality in a patch-based manner are compared for HEVC compression artifacts. It is shown that image patches of a size small as 128×128 pixel are large enough to evaluate the perceived image quality in a Degradation Category Rating (DCR) setting. Ratings obtained with 128×128 pixel sized images patches and 512×512 pixel sized images of the same spatial statistics show a correlation of r=0.99. Based on this finding, image quality assessment of 128×128 pixel sized image patches degraded by HEVC compression is compared for controlled lab environment and uncontrolled crowdsourcing settings. Although we find high overall correlation between the quality ratings obtained in the two environments, observers tend to give worse ratings in the crowdsourcing setting and for conditions of higher quality a reduction of correlation is observed. These findings have implications for choosing controlled vs. uncontrolled viewing conditions for image quality assessment for real-life applications.
- Subjects :
- Compression artifact
Pixel
business.industry
Computer science
Image quality
Mean opinion score
media_common.quotation_subject
030229 sport sciences
02 engineering and technology
Crowdsourcing
03 medical and health sciences
0302 clinical medicine
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Quality (business)
Artificial intelligence
business
Spatial analysis
Image compression
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Conference on Multimedia and Expo (ICME)
- Accession number :
- edsair.doi...........6b709ab334ec9ea69f55c5538d51ee1e