30 April 2021 Gradient-domain image reconstruction framework using chroma-preserving intensity-range and base-structure constraints
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Abstract

We present a gradient-domain image reconstruction framework with the chroma-preserving pixel-wise intensity-range constraint and the base-structure constraint. The existing methods for manipulating base structures and detailed textures are classifiable into two major streams: gradient-domain and layer-decomposition. To generate detail-preserving and artifact-free output images, we combine the two approaches’ benefits into the proposed framework by introducing the chroma-preserving intensity-range constraint and the base-structure constraint. To preserve details of the input image, the proposed method takes advantage of reconstructing the output image in the gradient domain, whereas the output intensity is guaranteed to lie within the specified intensity range by the intensity-range constraint. The reconstructed image lies close to the base structure by the base-structure constraint, which is effective for restraining artifacts. Using this chroma-preserving pixel-wise luminance constraint, the proposed algorithm does not require post-processing such as intensity clipping or rescaling. The proposed framework directly generates the output luminance, which guarantees that the output RGB intensities are within the target intensity range, preserving the chromatic component. Experiments demonstrated that (1) the proposed framework is effective for various applications such as tone mapping, seamless image cloning, detail enhancement, and image restoration, and (2) the proposed framework can preserve chroma components compared with the existing methods.

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Takashi Shibata, Masayuki Tanaka, and Masatoshi Okutomi "Gradient-domain image reconstruction framework using chroma-preserving intensity-range and base-structure constraints," Journal of Electronic Imaging 30(2), 023032 (30 April 2021). https://doi.org/10.1117/1.JEI.30.2.023032
Received: 10 September 2020; Accepted: 16 April 2021; Published: 30 April 2021
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KEYWORDS
Image restoration

RGB color model

High dynamic range imaging

Image enhancement

Colorimetry

Deconvolution

Detection and tracking algorithms

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