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Image quality assessment for inpainted images via learning to rank
2018
Multimedia tools and applications
This paper proposes an image quality assessment (IQA) method for image inpainting, aiming at selecting the best one from a plurality of results. It is known that inpainting results vary largely with the method used for inpainting and the parameters set. Thus, in a typical use case, users need to manually select the inpainting method and the parameters that yield the best result. This manual selection takes a great deal of time and thus there is a great need for a way to automatically estimate
doi:10.1007/s11042-018-6186-z
fatcat:u3ojrgnjhzem5dvvvtcg5ylkv4