applied sciences Article Tone Mapping of High Dynamic Range Images Combining Co-Occurrence Histogram and Visual Salience Detection Ho-Hyoung Choi 1 , Hyun-Soo Kang 2,* and Byoung-Ju Yun 3,* 1 Advanced Dental Device Development Institute, School of Dentistry, Kyungpook National University, 2177, Dalgubeol-daero, Jung-gu, Daegu 41940, Korea;
[email protected] 2 School of Information and Communication Engineering, College of Electrical and Computer Engineering, Chungbuk National University, 1, Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28644, Korea 3 School of Electronics Engineering, IT College, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Korea * Correspondence:
[email protected] (H.-S.K.);
[email protected] (B.-J.Y.); Tel.: +82-53-950-7329 (B.-J.Y.) Received: 9 September 2019; Accepted: 29 October 2019; Published: 1 November 2019 Abstract: One of the significant qualities of the human vision, which differentiates it from computer vision, is so called attentional control, which is the innate ability of our human eyes to select what visual stimuli to pay attention to at any moment in time. In this sense, the visual salience detection model, which is designed to simulate how the human visual system (HVS) perceives objects and scenes, is widely used for performing multiple vision tasks. This model is also in high demand in the tone mapping technology of high dynamic range images (HDRIs). Another distinct quality of the HVS is that our eyes blink and adjust brightness when objects are in their sight. Likewise, HDR imaging is a technology applied to a camera that takes pictures of an object several times by repeatedly opening and closing a camera iris, which is referred to as multiple exposures.