Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm (original) (raw)

2007 IEEE International Conference on Image Processing, 2007

Abstract

The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approaches. The combination of the two approaches is designed with a stochastic classification-regression frame- work where a color image patch is first classified by its content, and then, based on the class of the patch, a learned

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