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- aggregation classification "P1".
- aggregation creator B130988.
- aggregation creator B130989.
- aggregation creator B130990.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 2015964.bibtex.
- aggregation hasFormat 2015964.csv.
- aggregation hasFormat 2015964.dc.
- aggregation hasFormat 2015964.didl.
- aggregation hasFormat 2015964.doc.
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- aggregation isPartOf urn:isbn:9780819489401.
- aggregation isPartOf urn:issn:0277-786X.
- aggregation language "eng".
- aggregation publisher "SPIE, the International Society for Optical Engineering".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Quantifying image distortion based on Gabor filter bank and multiple regression analysis".
- aggregation abstract "Image quality assessment is indispensable for image-based applications. The approaches towards image quality assessment fall into two main categories: subjective and objective methods. Subjective assessment has been widely used. However, careful subjective assessments are experimentally difficult and lengthy, and the results obtained may vary depending on the test conditions. On the other hand, objective image quality assessment would not only alleviate the difficulties described above but would also help to expand the application field. Therefore, several works have been developed for quantifying the distortion presented on a image achieving goodness of fit between subjective and objective scores up to 92%. Nevertheless, current methodologies are designed assuming that the nature of the distortion is known. Generally, this is a limiting assumption for practical applications, since in a majority of cases the distortions in the image are unknown. Therefore, we believe that the current methods of image quality assessment should be adapted in order to identify and quantify the distortion of images at the same time. That combination can improve processes such as enhancement, restoration, compression, transmission, among others. We present an approach based on the power of the experimental design and the joint localization of the Gabor filters for studying the influence of the spatial/frequencies on image quality assessment. Therefore, we achieve a correct identification and quantification of the distortion affecting images. This method provides accurate scores and differentiability between distortions.".
- aggregation authorList BK336266.
- aggregation volume "8293".
- aggregation aggregates 2015986.
- aggregation isDescribedBy 2015964.
- aggregation similarTo 12.912074.
- aggregation similarTo LU-2015964.