Image Correction Apparatus Using Gradient-Dependent Weight Coefficients
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Solution Overview
Problem
Existing image correction processes often introduce additional noise and consume excessive power and time due to excessive data processing, particularly when improving blurred images from acquisition devices like cameras.
Innovation Solution
An image correction apparatus that generates an image intensity gradient, a weight coefficient dependent on this gradient, and a correction transfer function to produce a corrected image with reduced noise and power consumption, using techniques such as Fourier transforms and regularization methods like Tikhonov and Gaussian regularization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing image correction processes are applied to improve blurred images, then image quality is improved, but additional noise is introduced and power consumption increases
Solution Approach 1:
The patent applies different weight coefficients to different regions of the image based on local intensity gradients. Areas with high intensity gradients (edges, boundaries) receive different treatment than areas with low intensity gradients (smooth regions), allowing noise reduction in smooth areas while preserving important image features in edge areas.
Solution Approach 2:
The patent dynamically adjusts the weight coefficient parameter based on the local intensity gradient of each image region. By changing this parameter according to local image characteristics, the correction process can adaptively reduce noise in appropriate regions while maintaining image quality in critical areas.
2Measurement precision
If existing image correction processes are applied to improve blurred images, then image quality is improved, but power consumption increases
Solution Approach 1:
The patent performs intensive correction processing only on regions where it is most needed (areas with specific intensity gradient characteristics), rather than uniformly processing the entire image. This localized approach reduces overall computational load and power consumption while maintaining image quality in critical regions.
Solution Approach 2:
The patent applies correction with varying intensity across different image regions using weight coefficients. Some regions receive stronger correction while others receive lighter processing, optimizing the balance between image quality improvement and computational resource consumption.
3Measurement precision
If existing image correction processes are applied to improve blurred images, then image quality is improved, but data processing time increases
Solution Approach 1:
The patent focuses computational efforts on specific image regions that benefit most from correction, identified through intensity gradient analysis. By processing only the most critical regions with high computational intensity, the patent reduces overall processing time while maintaining image quality.
Solution Approach 2:
The patent applies correction processing selectively with varying degrees of intensity across different image regions. This partial action approach processes only the necessary portions of the image at high detail, reducing total processing time while achieving sufficient image quality improvement.
Data Source
AI summary
An image correction apparatus includes an image correction processor configured to generate an image intensity gradient for each of areas of a pre-corrected image, generate a weight coefficient that is dependent on the image intensity gradient, generate a correction transfer function in which the weight coefficient is applied, generate an output value of a corrected image from an image intensity by applying the correction transfer function, and generate the corrected image based on the output value.