IEEE Trans Image Process - Real-time knowledge-based processing of images: application of the online NLPM method to perceptual visual analysis.

Tópicos

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Resumo

Perceptual analysis is an interesting topic in the field of image processing, and can be considered a missing link between image processing and human vision. Of the various forms of perception, one of the most important and best known is shape perception. In this work, a framework based on the online non local patch means (NLPM) method is developed, which is designed to infer possible perceptual observations of an input image using the knowledge images provided. Thanks to the speed of online NLPM, the proposed method can simulate the transformation of the input image to the final perceptual image in real time. In order to improve the performance of the method, a hidden chain series is considered for the model that delivers faster convergence. The capability of the method is evaluated on several well-known perceptual examples.

Resumo Limpo

perceptu analysi interest topic field imag process can consid miss link imag process human vision various form percept one import best known shape percept work framework base onlin non local patch mean nlpm method develop design infer possibl perceptu observ input imag use knowledg imag provid thank speed onlin nlpm propos method can simul transform input imag final perceptu imag real time order improv perform method hidden chain seri consid model deliv faster converg capabl method evalu sever wellknown perceptu exampl

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