A Study on a Combination of Sparse Coding and Dictionary Learning Algorithms for Sparse Super-Resolution

Autor:	Shin Kawai, Yoshitaka Mikuni, Hajime Nobuhara
Rok vydání:	2019
Předmět:	Computer science 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Neural coding Dictionary learning Algorithm Superresolution
Zdroj:	GCCE
DOI:	10.1109/gcce46687.2019.9015577
Popis:	This study proposed a method based on sparse coding for super-resolution, which acquires images from low resolution to high resolution. The method combines two parts: Dictionary learning and sparse coding. This combination typically affects the overall performance. The optimization of the algorithms for each part has been extensively studied, but these combinations were rarely studied. This study analyzes how these two parts of the algorithm interact with each other and finds the optimum combination to improve the accuracy of the dictionary learning algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92f97b5663deda370d074ce5dddfa649 https://doi.org/10.1109/gcce46687.2019.9015577 Zobrazit plný text záznamu