Work

Decomp2d: An R solution for image decomposition

Year: 2022

Type: software-paper

Abstract: The subjects of image processing include feature extraction, compression, denoising, image enhancement, and restoration. Many softwares have been developed for these studies. However, few studies have focused on decomposition in the literature, even though image decomposition is essential for image processing. This paper reviews several two-dimensional methods that can be adapted for image decomposition. Furthermore, we provide an R solution termed Decomp2d, tailored to the viewpoint of image decomposition based on existing R packages.

Source: SoftwareX

DOI: 10.1016/j.softx.2022.101182

Authors: Hee-Seok Oh, Guebin Choi, Donghoh Kim

Institutions: Seoul National University, Jeonbuk National University, Sejong University

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $600

Funder: National Research Foundation of Korea