@inproceedings{09a5b40be86e4741a4962dc4c63563d5,
title = "Single Image Super-Resolution via the Implementation of the Hardware-Friendly Sparse Coding",
abstract = "Sparse representation is one of the effective approaches to perform the feature extraction on the high-dimensional signals and has been widely used in the field of image processing. In this paper, a novel single image super-resolution (SR) reconstruction algorithm based on sparse coding is presented. Specifically, due to the fact that sparse coding has the potential to greatly facilitate the biological-neural system and to deal with a large amount of complex data, while consuming a finite amount of energy, a memristor crossbar array synthesized by a threshold-type memristor model is constructed for the implementation of a hardware-friendly sparse coding method, i.e., the Locally Competitive Algorithm (LCA). Meanwhile, the relevant online dictionary learning method is provided, along with the description of weight programming strategy. Furthermore, the specific description of the image SR via the LCA sparse coding is provided. For the verification purpose, a series of experiments are carried out to illustrate the validity and effectiveness of the entire scheme.",
keywords = "Dictionary learning, Image super-resolution, Memristor crossbar array, Sparse coding",
author = "Zhekang Dong and Lai, {Chun Sing} and Zhao Xu and Donglian Qi",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8484073",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "8132--8137",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
address = "United States",
note = "37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
}