Autor:	Deka, Bhabesh
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	Compressed sensing (CS) using overcomplete wavelet dictionaries has been a well-investigated topic in the recent times for image and vision applications. In this paper, different overcomplete wavelet transforms have been studied to estimate the best transform. Performance evaluations are carried out for different overcomplete wavelet transforms from highly undersampled and inaccurate measurements for the recovery of images in frequency as well as physical domains. Comment: 9 pages Submitted to Springer LNCS proceedings
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1909.04888 Zobrazit plný text záznamu View this record from Arxiv