DISCRIMINATIVE INDEXING FOR PATCH-BASED IMAGE ENHANCEMENT

摘要

Methods for enhancing images with increased efficiency include using a discriminative index tree to expedite image optimization processes. The discriminative index tree indexes patch-based image priors for modifying an image by using classifiers determined by exploiting a structure of the patch-based image priors. The discriminative index tree quickly and efficiently parses a space of patch-based image patches to determine approximate dominant patch-based image priors for the space of image patches. To further improve the efficiency of the discriminative index tree, one or more embodiments can limit a number of potential patch-based image priors from which a dominant patch-based image prior is selected.

主权项

1. A method of generating an index tree for identifying patch-based image priors for patch-based image enhancement, comprising:
determining a plurality of patch-based image priors from a plurality of natural image training patches; calculating, by at least one processor, a plurality of informed candidate linear classifiers based on a structure of the plurality of patch-based image priors; and selecting a linear classifier from the plurality of informed candidate linear classifiers for each non-leaf node of a discriminative index tree.