An ISP system for low-light image enhancement based on dark channel prior and bilateral filtering

By integrating dark channel prior and bilateral filtering algorithms into an ISP system, and employing fixed-point arithmetic and pipeline architecture optimization, the problems of high computational complexity, color distortion, and low data throughput in low-light image enhancement are solved, achieving efficient image enhancement processing.

CN122434802APending Publication Date: 2026-07-21QIANGHUA TIMES (CHENGDU) TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QIANGHUA TIMES (CHENGDU) TECH CO LTD
Filing Date
2026-06-23
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing low-light enhancement algorithms suffer from high computational complexity and poor real-time performance when implemented in hardware. Directly applying dark channel priors to low-light scenes can easily lead to color distortion and halo artifacts. The floating-point operation implementation of bilateral filtering is resource-intensive and difficult to integrate. Furthermore, insufficient cross-clock domain synchronization, de-mosaicing, and collaborative design with enhancement modules in the ISP pipeline result in low data throughput and pipeline congestion.

Method used

A low-light image enhancement ISP system based on dark channel prior and bilateral filtering is adopted. Through the integrated design of data preprocessing module, demosaic module and low-light enhancement module, a lookup table is used to store the fixed-point ratio of pre-calculated transmittance coefficient to atmospheric light value. Multipliers and dividers are used to realize fixed-point number operations. Reliable data transmission is achieved through flag signal generation, two-stage synchronous trigger synchronization and data sampling mechanism. A 5×5 pixel matrix window is used to construct and pipeline architecture to optimize the data flow between modules.

Benefits of technology

It significantly reduces hardware implementation costs, improves computational efficiency, suppresses color distortion and halo artifacts, increases data throughput and processing frame rate, and solves the problems of high computational complexity and pipeline blockage in existing technologies.

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Abstract

The application provides a low-illumination image enhancement ISP system based on dark channel prior and bilateral filtering, comprising a data preprocessing module, which performs format conversion and cross-clock domain processing on original image data and outputs preprocessed image data; a demosaicing module, which interpolates the preprocessed single-channel RAW format data into three-channel RGB image data; and a low-illumination enhancement module, which performs low-illumination enhancement processing on the RGB image data based on a dark channel prior algorithm and a bilateral filtering algorithm and outputs enhanced images. The application can improve image brightness and contrast in a low-illumination environment, while suppressing noise and halo artifacts, and realizes real-time and high-quality image enhancement processing.
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