DocumentCode :
231623
Title :
Applications of edge preservation ratio in image processing
Author :
Shaode Yu ; Wentao Zhang ; Shibin Wu ; Xiaolong Li ; Yaoqin Xie
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
698
Lastpage :
702
Abstract :
Edge preservation ratio (EPR) is a full-reference metric for objective image quality assessment (IQA). It is under the assumption that key messages to human visual systems are mainly from image structures, and these structures can be extracted by edge detection. EPR measure is twofold: accuracy and robustness, and a color map is synthesized to reveal structure changes before and after image processing. The feasibility and superiority of EPR have been validated via image magnification and noise reduction. Experimental results suggest that: (1) it is challenging to fully recover lost messages by image magnification; (2) high image contrast may be derived from concise and distinct image structures.
Keywords :
edge detection; image colour analysis; image denoising; EPR; IQA; color map; edge detection; edge preservation ratio; human visual system; image magnification; image noise reduction; image processing; image quality assessment; image structure; Image edge detection; Image quality; Measurement; Noise; Noise reduction; Visualization; Edge preservation ratio; image processing; image quality assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015093
Filename :
7015093
Link To Document :
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