Combining near-infrared (NIR) and RGB for image detail enhancement
Date of Publication
2015
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Carlo Noel E. Ochotorena
Defense Panel Chair
Aaron Don M. Africa
Defense Panel Member
Melvin K. Cabatuan
Elmer R. Magsino
Abstract/Summary
For decades, many researchers have been conducted on image enhancement. Some have used both visible image and near-infrared image information to enhance the details in images. In this research, the group provides a visible (RGB) image and near-infrared (NIR) image combination detail enhancement system that detects corners, uses distinct multi-scale features with mild orientation invariance, applies homography, and introduces a noel method in image fusion utilizing weighted least square filters on images. Still landscape photography is the main target of the researchers.
Abstract Format
html
Language
English
Format
Accession Number
TU18890
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xxi, 201 leaves : illustrations (some colored) ; 28 cm.
Recommended Citation
Adriano, D. L., Defeo, K. F., & Reyes, C. B. (2015). Combining near-infrared (NIR) and RGB for image detail enhancement. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12116
