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HDR Image Compression by Integrated Surround Retinex Model

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In this paper, we propose a novel HDR image compression method by Fast Integrated Surround Retinex model. The proposed method has two novelties. First, multi-scale surround images are integrated to a single surround field, which is applied to Center/Surround Single-Scale Retinex model. The method reduces the “banding artifact” seen in normal SSR and simplifies the complicated computational steps in conventional Multi-Scale Retinex. Second, the introduction of Gaussian Pyramid cuts the computation time for generating a large-scale surround by tracing a “reduction” and “expansion” sequences using down and up sampling. The proposed model worked well in compressing the dynamic range and improving the visibility in heavy shadow areas of natural color images while preserving pleasing contrast.
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Document Type: Research Article

Publication date: 2006-01-01

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