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µ-Law Based HDR Coding and Its Error Analysis

Takao JINNO, Hironori KAIDA, Xinwei XUE, Nicola ADAMI, Masahiro OKUDA

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Summary :

In this paper, we propose a coding algorithm for High Dynamic Range Images (HDRI). Our encoder applies a tone mapping model based on scaled µ-Law encoding, followed by a conventional Low Dynamic Range Image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone-mapped HDRI and its LDR version. By virtue of the nature of the µ-Law model, not only the quality of the HDRI but also the one of the LDRI is improved, compared with a state of the art in conventional HDRI coding methods. Furthermore the error limit caused by our encoding is theoretically analyzed.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.3 pp.972-978
Publication Date
2011/03/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E94.A.972
Type of Manuscript
PAPER
Category
Image

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