The naturalness of reproduced high dynamic range images

被引:21
|
作者
Cadík, M [1 ]
Slavík, P [1 ]
机构
[1] Czech Tech Univ, Fac Elect Engn, Dept Comp Sci & Engn, Prague 12135, Czech Republic
关键词
D O I
10.1109/IV.2005.126
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of visualizing high dynamic range images on the devices with restricted dynamic range has recently gained a lot of interest in the computer graphics community. Various so-called tone mapping operators have been proposed to face this issue. The field of tone mapping assumes thorough knowledge of both the objective and subjective attributes of an image. However, there no published analysis of such attributes exists so far In this paper we present an overview of image attributes which are used extensively in different tone mapping methods. Furthermore, we propose a scheme of relationships between these attributes, leading to the definition of an overall quality measure which we call naturalness. We present results of the subjective psychophysical testing that we have performed to prove the proposed relationship scheme. Our effort sets the stage for well-founded quality comparisons between tone mapping operators. By providing good definitions of the different attributes, comparisons, be they user-driven or fully automatic, are made possible at all.
引用
收藏
页码:920 / 925
页数:6
相关论文
共 50 条
  • [21] Full high-dynamic range images for dynamic scenes
    Ramirez Orozco, R.
    Martin, I
    Loscos, C.
    Vasquez, P-P
    OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR MULTIMEDIA APPLICATIONS II, 2012, 8436
  • [22] New visualization method for high dynamic range images in low dynamic range devices
    Kim, Jun-Hyung
    Kim, Hoon
    Ko, Sung-Jea
    OPTICAL ENGINEERING, 2011, 50 (10)
  • [23] High-capacity watermarking of high dynamic range images
    Maiorana, Emanuele
    Campisi, Patrizio
    EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2016, : 1 - 15
  • [24] High-capacity watermarking of high dynamic range images
    Emanuele Maiorana
    Patrizio Campisi
    EURASIP Journal on Image and Video Processing, 2016
  • [25] Open source database of images DEIMOS: high dynamic range images
    Fliegel, Karel
    Pata, Petr
    Klima, Milos
    Blazek, Martin
    Havlin, Josef
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIII, 2010, 7798
  • [26] Optimal Contrast Enhancement for Tone-mapped Low Dynamic Range Images based on High Dynamic Range Images
    Yip, Ka-Yue
    Au, Oscar C.
    Cheung, Ngai-Man
    Liu, Chun-Hung
    Cheng, Cheuk-Hong
    2009 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2, 2009, : 53 - 58
  • [27] Visualizing weather with synthetic high dynamic range images
    Olsson, B
    Ynnerman, A
    Lenz, R
    VISUALIZATION AND DATA ANALYSIS 2004, 2004, 5295 : 107 - 116
  • [28] SKY CLASSIFICATION METRICS FOR HIGH DYNAMIC RANGE IMAGES
    Souza, D. F.
    Scarazzato, P. S.
    Pedrini, H.
    PROCEEDINGS OF THE CIE CENTENARY CONFERENCE TOWARDS A NEW CENTURY OF LIGHT, 2013, : 817 - 825
  • [29] Shape recovery using high dynamic range images
    郑作勇
    High Technology Letters, 2008, 14 (04) : 384 - 389
  • [30] Fast Tone Mapping for High Dynamic Range Images
    Thakur, S. K.
    Sivasubramanian, M.
    Nallaperumal, Krishnan
    Marappan, Karthikeyan
    Vishwanath, N.
    2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2013, : 922 - 925