This Letter proposes a novel inverse halftoning algorithm that introduces a way of generating a pair of binary and continuous dictionaries optimized to a training image database composed of many pairs of halftoned patches and the corresponding continuous patches. The experiment results show that the two created binary and continuous dictionaries can be nicely used with the estimated sparse coefficients to represent an unknown continuous image with less noise and fine details from an input halftoned image.
© 2012 Optical Society of America
Vision, Color, and Visual Optics
Original Manuscript: February 14, 2012
Revised Manuscript: April 16, 2012
Manuscript Accepted: April 17, 2012
Published: June 11, 2012
Chang-Hwan Son, "Inverse halftoning based on sparse representation," Opt. Lett. 37, 2352-2354 (2012)