Enhanced HDR image reproduction using gamma-adaptation-based tone compression and detail-preserved blending

Taeyoung Jung; Hyuk Ju Kwon; Joonku Hahn; Sung Hak Lee

doi:10.1587/transfun.2019EAL2131

Enhanced HDR image reproduction using gamma-adaptation-based tone compression and detail-preserved blending

Taeyoung Jung, Hyuk Ju Kwon, Joonku Hahn, Sung Hak Lee

School of Electronics Engineering

Kyungpook National University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We propose image synthesizing using luminance adapted range compression and detail-preserved blending. Range compression is performed using the correlated visual gamma then image blending is performed by local adaptive mixing and selecting method. Simulations prove that the proposed method reproduces natural images without any increase in noise or color desaturation.

Original language	English
Pages (from-to)	728-732
Number of pages	5
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E103A
Issue number	4
DOIs	https://doi.org/10.1587/transfun.2019EAL2131
State	Published - 2020

Keywords

High dynamic range
Human visual system
Multi-exposure blending
Tone compression

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10.1587/transfun.2019EAL2131

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abstract = "We propose image synthesizing using luminance adapted range compression and detail-preserved blending. Range compression is performed using the correlated visual gamma then image blending is performed by local adaptive mixing and selecting method. Simulations prove that the proposed method reproduces natural images without any increase in noise or color desaturation.",

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KW - Human visual system

KW - Multi-exposure blending

KW - Tone compression

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Enhanced HDR image reproduction using gamma-adaptation-based tone compression and detail-preserved blending

Abstract

Keywords

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