Patch Brightness Adjustment for Feature-Preserving Image Exposure
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Solution Overview
Problem
Existing image adjusting methods that apply uniform exposure and gain adjustments to the whole image can result in over-exposed bright parts, leading to loss of details and missed features during feature extraction.
Innovation Solution
An image adjusting method that calculates patch brightness values, adjusts patches outside a target brightness range, and replaces them with adjusted patches to ensure all patch brightness values fall within the target range, enhancing feature extraction in uneven lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If uniform exposure and gain adjustments are applied to the whole image, then the overall image brightness is improved, but bright parts become over-exposed and details are lost
Solution Approach 1:
The patent divides the image into multiple patches and processes each patch independently. Instead of applying uniform exposure and gain adjustments to the entire image, the method calculates brightness values for each patch and adjusts only those patches that fall outside the target brightness range, thereby avoiding over-exposure in bright areas while maintaining overall image brightness.
Solution Approach 2:
The patent implements local quality adjustment by treating different regions of the image differently. Each patch is evaluated individually for its brightness value, and only patches outside the target range undergo adjustment. This allows bright parts to remain unchanged (preserving details) while dark parts are adjusted to improve overall brightness.
2Illumination intensity
If uniform exposure and gain adjustments are applied to the whole image, then the overall image brightness is improved, but features in over-exposed parts are missed during extraction
Solution Approach 1:
The patent segments the image into multiple patches and processes each patch independently. By calculating brightness values for each patch and adjusting only those outside the target range, the method ensures that features in bright areas are not lost due to over-exposure, thereby improving feature extraction accuracy while maintaining overall brightness.
Solution Approach 2:
The patent applies local quality adjustment where each patch is evaluated individually. Patches with brightness values within the target range (including bright areas) are left unchanged, preserving their features for accurate extraction, while only dark patches are adjusted to improve overall visibility without compromising feature detection.
3Manufacturing precision
If patch-by-patch brightness adjustment is applied, then detail preservation is improved, but processing time and load increase
Solution Approach 1:
The patent applies partial action by adjusting only the patches that are necessary to modify. Instead of processing every patch in the image, the method identifies and adjusts only those patches whose brightness values fall outside the target range. This selective approach reduces processing time and computational load while still achieving detailed preservation in the required areas.
Data Source
AI summary
An image adjusting method, suitable for an electronic device is disclosed. The image adjusting method includes the following operations: calculating several patch brightness values of several patches of an image; adjusting a first patch brightness value of a first patch of several patches to generate a first adjusted patch when the first patch brightness value of the first patch is not within a target brightness value range, so that a first adjusted patch brightness value of the first adjusted patch is within the target brightness value range; and replacing the first patch of the image with the first adjusted patch to obtain an adjusted image.