High performance image completion using sparsity based algorithms

Jin Zhou; Chiman Kwan

doi:10.1117/12.2303661

14 May 2018 High performance image completion using sparsity based algorithms

Jin Zhou, Chiman Kwan

Proceedings Volume 10669, Computational Imaging III; 106690I (2018) https://doi.org/10.1117/12.2303661
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

There are many applications that have corrupted or missing pixels in images. Here, we present sparsity based image completion algorithms that can achieve high performance in image reconstruction. Through extensive experiments using various types of images, it was demonstrated that our algorithms can deal with extremely high missing rates (up to 99.9%) and relatively large missing blocks.

Conference Presentation

Citation Download Citation

Jin Zhou and Chiman Kwan "High performance image completion using sparsity based algorithms", Proc. SPIE 10669, Computational Imaging III, 106690I (14 May 2018); https://doi.org/10.1117/12.2303661

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