Paper Title :Image Retargeting Quality Assessment: A Backward Registration Approach
Author :Samrah Sheikh, A. S. Shirsat
Article Citation :Samrah Sheikh ,A. S. Shirsat ,
(2017 ) " Image Retargeting Quality Assessment: A Backward Registration Approach " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 86-89,
Volume-5,Issue-11
Abstract : The paper shows the result of large scale study of image retargeting quality on a collection of images obtained by
explanatory image retargeting methods. Apart from many Image Quality Assessment (IQA) metrics, the quality degradation
during image retargeting occurs due to artificial modifications and the difficulty for Image Retargeting Quality Assessment
lies in the variation of image resolution and content, which makes it difficult to straightaway evaluate the class of
degradation like traditional IQA. The paper explains image retargeting by integrating the structure of resampling, grid
generation and forward sampling. Also, that the geometric change estimation is an effective way to simplify the connection
amongst the original image and the retargeted image. We frame the geometric change estimation as the Backward
Registration problem and extract the fast features and freak descriptors and assign a productive solution
Keywords: Backward Registration, Fast Feature, Geometric change, Image Fusion, Image retargeting quality assessment
Type : Research paper
Published : Volume-5,Issue-11
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-10193
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Copyright: © Institute of Research and Journals
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Published on 2018-01-27 |
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