Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation

CELEBI A., Duvar R., URHAN O.

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, vol.61, no.1, pp.119-127, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 61 Issue: 1
  • Publication Date: 2015
  • Doi Number: 10.1109/tce.2015.7064119
  • Journal Name: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.119-127
  • Keywords: High dynamic range, HDR, Histogram separation, Ghost-free, IMAGES
  • Kocaeli University Affiliated: Yes

Abstract

In this work, a high dynamic range (HDR) image generation method using a single input image is presented. The proposed approach generates over-and under-exposed images by making use of a novel adaptive histogram separation scheme. Thus, it becomes possible to eliminate ghosting effects which generally occur when several input image containing camera/object motion are utilized in HDR imaging. Additionally, it is proposed to utilize a fuzzy logic based approach at the fusion stage which takes visibility of the inputs pixels into account. Since the proposed approach is computationally light-weight, it is possible to implement it on mobile devices such as smart phones and compact cameras. Experimental results show that the proposed approach is able to provide ghost-free and improved HDR performance compared to the existing methods(1).