Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images

    Authors

    Y. H. Yee;S. Pattanaik

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Visual Comput.

    Keywords

    image processing; image segmentation; signal processing; biological; modeling; tone reproduction operator; TONE REPRODUCTION; Computer Science, Software Engineering

    Abstract

    Realistic display of high-dynamic range images is a difficult problem. Previous methods for high-dynamic range image display suffer from halo artifacts or are computationally expensive. We present a novel method for computing local adaptation luminance that can be used with several different visual adaptation-based tone-reproduction operators for displaying visually accurate high-dynamic range images. The method uses fast image segmentation, grouping, and graph operations to generate local adaptation luminance. Results on several images show excellent dynamic range compression, while preserving detail without the presence of halo artifacts. With adaptive assimilation, the method can be configured to bring out a high-dynamic range appearance in the display image. The method is efficient in terms of processor and memory use.

    Journal Title

    Visual Computer

    Volume

    19

    Issue/Number

    7-8

    Publication Date

    1-1-2003

    Document Type

    Article

    Language

    English

    First Page

    457

    Last Page

    466

    WOS Identifier

    WOS:000186957600003

    ISSN

    0178-2789

    Share

    COinS