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- W3025743532 abstract "Image quality assessment has been of major importance for several domains of the industry of image as forinstance restoration or communication and coding. New application fieds are opening today with the increaseof embedded power in the camera and the emergence of computational photography: automatic tunning, imageselection, image fusion, image data-base building, etc.We review the literature of image quality evaluation. We pay attention to the very dfferent undelyinghypotheses and results of the existing methods to approach the problem. We explain why they dffer and forwhich applications they may be beneficial. We also underline their limits, especialy for a possible use in the noveldomain of computational photography. Being developed to address dfferent objectives, they propose answerson dfferent aspects, which make them sometimes complementary. However, they all remain limited in theircapability to challenge the human expert, the said or unsaid ultimate goal.We consider the methods which are based on retrieving the parameters of a signal, mostly in spectral analysis;then we explore the more global methods to qualify the image quality in terms of noticeable defects or degradationas popular in the compression domain; in a third field the image acquisition process is considered as a channelbetween the source and the receiver, allowing to use the tools of the information theory and to qualify the systemin terms of entropy and information capacity.However, these dfferent approaches hardly attack the most dffcult part of the task which is tomeasurethe quality of the photography in terms of aesthetic properties. To help in addressing this problem, in betweenPhylosophy, Biology and Psychology, we propose a brief review of the litterature which addresses the problematicof qualifying Beauty, present the attempts to adapt these concepts to visual patterns and initiate a reexion onwhat could be done in the field of photography." @default.
- W3025743532 created "2020-05-21" @default.
- W3025743532 creator A5031369629 @default.
- W3025743532 date "2015-10-01" @default.
- W3025743532 modified "2023-09-24" @default.
- W3025743532 title "A Review of Image Quality Assessment with application to Computational Photography" @default.
- W3025743532 hasPublicationYear "2015" @default.
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