Adaptive Gamma Correction for Image Detail Preservation
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Solution Overview
Problem
Conventional gamma correction methods often distort high-frequency signals and detailed content in images, leading to issues like broken lines and color washout, especially in modern display systems with nonlinear properties.
Innovation Solution
An adaptive gamma correction method that processes gray level values based on frequency domain values, applying different correction procedures and proportions to avoid distortion, using an image correction device with a frequency-domain analyzer and adaptive corrector to determine when to perform gamma correction and when to output values directly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gamma correction is applied to compensate for nonlinear display properties, then image brightness and color accuracy are improved, but high-frequency signals and detailed content become distorted
Solution Approach 1:
The patent applies different gamma correction strengths to different spatial regions of the image. Low-frequency regions (smooth areas) receive full gamma correction to improve brightness accuracy, while high-frequency regions (edges and details) receive reduced or no correction to preserve detail fidelity. This is achieved by calculating frequency domain values for each pixel and selectively applying correction based on these values.
Solution Approach 2:
The patent dynamically adjusts the gamma correction parameter based on the frequency domain value of each pixel. The correction strength is not fixed but varies adaptively according to the local frequency characteristics, allowing the system to optimize between brightness accuracy and detail preservation for each pixel individually.
2Reliability
If conventional gamma correction is used to obtain real and colorful images, then overall image quality is improved, but broken lines and color washout occur on detailed content
Solution Approach 1:
The patent changes the gamma correction parameter dynamically based on the frequency domain value of each pixel. By adjusting this parameter according to local frequency characteristics, the system maintains high image quality in low-frequency regions while minimizing distortion artifacts in high-frequency regions.
Solution Approach 2:
Different regions of the image receive different levels of gamma correction. Low-frequency regions receive full correction for optimal image quality, while high-frequency regions receive reduced correction to avoid broken lines and color washout artifacts.
3Measurement precision
If gamma correction is applied uniformly to all pixels, then nonlinear display properties are compensated, but high-frequency signals are distorted
Solution Approach 1:
The patent segments the image processing into two distinct paths based on frequency domain analysis. Low-frequency pixels are processed with full gamma correction to achieve brightness linearity, while high-frequency pixels are processed with reduced or no correction to preserve signal integrity. This segmentation is achieved through frequency domain value calculation and threshold-based decision making.
Solution Approach 2:
The gamma correction application is made dynamic and adaptive rather than uniform. The correction is applied selectively based on real-time frequency domain analysis of each pixel, allowing the system to maintain brightness linearity where needed while preserving high-frequency signal integrity where required.
Data Source
AI summary
An image correction method and an image correction device are provided. The image correction method includes the following steps: obtaining a gray level value of a pixel in an image and a frequency domain value of the gray level value; determining whether the frequency domain value is smaller than a first threshold; performing an adaptive gamma correction procedure on the gray level value according to the frequency domain value and outputting the result if the frequency domain value is smaller than the first threshold; outputting the gray level value directly if the frequency domain value is not smaller than the first threshold.