Authors:
Nikola Banić
and
Sven Lončarić
Affiliation:
Faculty of Electrical Engineering and Computing and University of Zagreb, Croatia
Keyword(s):
HDR, Image Compression, Image Enhancement, LDR, Naka-Rushton Equation, Retinex, Tone Mapping Operator.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Digital Photography
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
Abstract:
Tone mapping operators (TMOs) are used to convert high dynamic range (HDR) images to their low dynamic range (LDR) versions mostly to display them on standard display devices. The problem with many TMOs that produce high-quality results is that they are too slow to be used in real-time applications. In this paper, a new TMO is proposed whose steps are primarily designed to achieve high speed and to be practically implementable. Under this constraint the secondary goal is to produce low dynamic range images of high quality. The proposed TMO is based on Naka-Rushton equation used in combination with additional improvements and it has O(1) per-pixel complexity. The presented and discussed results show that, beside being faster and more practical, the proposed TMO outperforms many state-of-the-art TMOs in terms of resulting LDR image quality. To further demonstrate its practicality, the source code written in C++, Matlab, Python, Java, and HTML+JavaScript is available at http://TO_BE_INS
ERTED.
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