Back to articles
Articles
Volume: 19 | Article ID: art00040
Image
Reconstruction of Super Resolution High Dynamic Range Image from Multiple-Exposure Images
  DOI :  10.2352/CIC.2011.19.1.art00040  Published OnlineJanuary 2011
Abstract

Recent research efforts have focused on combining high dynamic range (HDR) imaging with super-resolution (SR) reconstruction to enhance both the intensity range and resolution of images beyond the apparent limits of the sensors that capture them. The processes developed to date start with a set of multiple-exposure input images with low dynamic range (LDR) and low resolution (LR), and require several procedural steps: conversion from LDR to HDR, SR reconstruction, and tone mapping. Input images captured with irregular exposure steps have an impact on the quality of the output images from this process. In this paper, we present a simplified framework to replace the separate procedures of previous methods that is also robust to different sets of input images. The proposed method first calculates weight maps to determine the best visible parts of the input images. The weight maps are then applied directly to SR reconstruction, and the best visible parts for the dark and highlighted areas of each input image are preserved without LDR-to-HDR conversion, resulting in high dynamic range. A new luminance control factor (LCF) is used during SR reconstruction to adjust the luminance of input images captured during irregular exposure steps and ensure acceptable luminance of the resulting output images. Experimental results show that the proposed method produces SR images of HDR quality with luminance compensation.

Subject Areas :
Views 2
Downloads 0
 articleview.views 2
 articleview.downloads 0
  Cite this article 

Tae-Hyoung Lee, Ho-Gun Ha, Yeong-Ho Ha, "Reconstruction of Super Resolution High Dynamic Range Image from Multiple-Exposure Imagesin Proc. IS&T 19th Color and Imaging Conf.,  2011,  pp 195 - 200,  https://doi.org/10.2352/CIC.2011.19.1.art00040

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2011
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA