Real-time knowledge-based processing of images: application of the online NLPM method to perceptual visual analysis

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Reza Farrahi Moghaddam, Mohamed Cheriet

Abstract

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.

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Citations

Sep 16, 2015·Health Communication·Tracie Harrison, Allison Lazard

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