Image Processing Apparatus Backlight Brightness Correction
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Solution Overview
Problem
Existing image processing methods struggle to accurately adjust brightness in backlight scenes, leading to overcorrection issues such as halos and reduced image quality, particularly when transitioning between bright and dark sections.
Innovation Solution
An image processing apparatus that extracts multiple luminance low frequency components with different frequency bands and adjusts color based on these components, reducing the effect of lower frequency components when their impact is greater than higher frequency components to prevent overcorrection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color adjustment is performed using low frequency luminance components to brighten dark sections, then brightness correction is improved, but overcorrection and halo artifacts occur at bright-dark boundaries
Solution Approach 1:
The patent segments the low frequency luminance components into multiple frequency bands (first low frequency component and second low frequency component with different frequency characteristics). By processing different frequency bands separately and combining them, the method achieves accurate brightness correction while suppressing overcorrection artifacts at boundaries.
Solution Approach 2:
The patent applies different processing strategies to different regions of the image. In bright-dark boundary regions, the first low frequency component (with higher frequency characteristics) is used to prevent halo artifacts, while in uniform regions, the second low frequency component (with lower frequency characteristics) provides better brightness correction. This local adaptation of processing quality resolves the contradiction between correction accuracy and artifact prevention.
2Illumination intensity
If exposure correction is performed to brighten the main object in backlight scenes, then brightness of the main object is improved, but the background becomes too bright and operation complexity increases
Solution Approach 1:
The patent implements automatic brightness correction by having the image processing apparatus autonomously analyze the image, identify backlight conditions, and apply appropriate correction algorithms. The system self-adjusts exposure parameters and performs dodging-like processing without requiring user intervention, thereby improving main object brightness while eliminating the complexity of manual exposure correction.
3Manufacturing precision
If low frequency component processing is applied to correct brightness distribution, then image quality is improved, but processing complexity and computational load increase
Solution Approach 1:
The patent divides the low frequency component processing into multiple frequency bands, where each band is processed separately and then combined. This segmentation allows the system to achieve high image quality through multi-band processing while managing computational complexity by processing each band independently rather than handling the entire low frequency component as a single complex operation.
Data Source
AI summary
An image processing apparatus includes an extraction unit configured to extract a plurality of luminance low frequency components different in frequency band from a luminance component of image data, and a color adjustment unit configured to execute color adjustment of the image data using the image data or the luminance component of the image data and the plurality of luminance low frequency components, wherein, when an effect of color adjustment based on the luminance low frequency component having a relatively low frequency is larger than an effect of color adjustment based on the luminance low frequency component having a relatively high frequency among the plurality of luminance low frequency components, the color adjustment unit reduces the effect of color adjustment based on the luminance low frequency component having the relatively low frequency.