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New C2LUT framework enhances camera color correction with adaptive 3D lookup tables · 2 sources tracked

Researchers have developed a novel color correction framework for camera image signal processing pipelines, utilizing illuminant-adaptive three-dimensional lookup tables (LUTs) named C$^2$LUT. This method addresses challenges in accurately mapping sensor responses to device-independent color spaces like CIE XYZ, especially under complex LED illuminants. By employing Tucker tensor decomposition for LUT representation, the framework ensures computational efficiency for camera ISPs and demonstrates significant improvements in reducing color errors, outperforming existing methods. AI

IMPACT This research could lead to more accurate and efficient color processing in cameras, particularly in challenging lighting conditions.

RANK_REASON The cluster contains an academic paper detailing a new method for camera color correction. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New C2LUT framework enhances camera color correction with adaptive 3D lookup tables · 2 sources tracked

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The cluster contains an academic paper detailing a new method for camera color correction. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Claudio Rota, Luca Cogo, Simone Bianco, Raimondo Schettini ·

    Illuminant-Adaptive 3D Lookup Tables for Camera Color Correction

    arXiv:2607.11681v1 Announce Type: new Abstract: Color correction is a key component of camera image signal processing (ISP) pipelines, encompassing illuminant discounting and colorimetric mapping of device-dependent sensor responses to device-independent color spaces, such as CIE…

  2. arXiv cs.CV TIER_1 English(EN) · Raimondo Schettini ·

    Illuminant-Adaptive 3D Lookup Tables for Camera Color Correction

    Color correction is a key component of camera image signal processing (ISP) pipelines, encompassing illuminant discounting and colorimetric mapping of device-dependent sensor responses to device-independent color spaces, such as CIE XYZ. Despite extensive research, accurate color…