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Proceedings Paper

Local adaptive tone mapping for video enhancement
Author(s): Vladimir Lachine; Min (Maggie) Dai
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Paper Abstract

As new technologies like High Dynamic Range cameras, AMOLED and high resolution displays emerge on consumer electronics market, it becomes very important to deliver the best picture quality for mobile devices. Tone Mapping (TM) is a popular technique to enhance visual quality. However, the traditional implementation of Tone Mapping procedure is limited by pixel’s value to value mapping, and the performance is restricted in terms of local sharpness and colorfulness. To overcome the drawbacks of traditional TM, we propose a spatial-frequency based framework in this paper.

In the proposed solution, intensity component of an input video/image signal is split on low pass filtered (LPF) and high pass filtered (HPF) bands. Tone Mapping (TM) function is applied to LPF band to improve the global contrast/brightness, and HPF band is added back afterwards to keep the local contrast. The HPF band may be adjusted by a coring function to avoid noise boosting and signal overshooting. Colorfulness of an original image may be preserved or enhanced by chroma components correction by means of saturation function. Localized content adaptation is further improved by dividing an image to a set of non-overlapped regions and modifying each region individually.

The suggested framework allows users to implement a wide range of tone mapping applications with perceptional local sharpness and colorfulness preserved or enhanced. Corresponding hardware circuit may be integrated in camera, video or display pipeline with minimal hardware budget

Paper Details

Date Published: 11 March 2015
PDF: 6 pages
Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015, 94110V (11 March 2015); doi: 10.1117/12.2087624
Show Author Affiliations
Vladimir Lachine, Qualcomm Canada, Inc. (Canada)
Min (Maggie) Dai, Qualcomm, Inc. (United States)


Published in SPIE Proceedings Vol. 9411:
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
Reiner Creutzburg; David Akopian, Editor(s)

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