Video Correction Apparatus Resolution Adjustment for Illumination Extraction
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Solution Overview
Problem
Existing video correction methods, such as the Retinex algorithm, face challenges in processing high-resolution images in real time due to increased computation requirements, especially when using multiple Gaussian filters for color components, leading to ineffective image correction.
Innovation Solution
A video correction apparatus and method that pre-adjusts image resolution based on the convolution operation scale value of Gaussian filters to accelerate the extraction of illumination components, using a combination of resolution adjusters, illumination and reflection component extractors, and image synthesizers to generate corrected images with enhanced dynamic range and contrast.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple Gaussian filters with different filter coefficients are used to extract illumination components from color components, then image correction quality is improved, but computation amount increases significantly
Solution Approach 1:
The patent divides the color component image into multiple resolution levels (e.g., original resolution and half resolution) and applies different Gaussian filters to different resolution levels. This segmentation of the processing task reduces the computation burden while maintaining correction quality, as lower resolution images require fewer computational resources.
Solution Approach 2:
The patent changes the resolution parameter of the input image before applying the Gaussian filter. By adjusting the resolution (e.g., downsampling to half resolution), the patent modifies the computational complexity of the filtering operation, enabling real-time processing while preserving the essential illumination component extraction capability.
2Manufacturing precision
If image resolution is increased to maintain detail, then image quality is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary resolution adjustment (downsampling) before the illumination component extraction process. This preliminary action reduces the amount of data that needs to be processed in subsequent steps, enabling faster processing while maintaining the quality of the final corrected image through proper resolution management.
Solution Approach 2:
The patent dynamically adjusts the resolution of the image based on the processing requirements and available computational resources. The system can switch between different resolution levels during processing, allowing flexible adaptation to maintain both quality and processing speed.
3Measurement precision
If Gaussian filter is applied to each color component (R, G, B) separately, then illumination component extraction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines the processing of multiple color components by applying the Gaussian filter operation across different resolution levels in an integrated manner. Instead of treating each color component independently at full resolution, the system processes them together at reduced resolutions, reducing overall complexity while maintaining extraction accuracy.
Data Source
AI summary
A video correction apparatus includes: a resolution adjuster to determine resolution values and a filter coefficient of at least one filter for performing filtering process, and adjust an initial resolution of the color component of the input image to the resolution values to generate resolution-adjusted images; an illumination component extractor to extract illumination components by using the color component of the input image and the at least one filter; a reflection component extractor to extract reflection components of the resolution-adjusted images by removing the illumination components from the resolution-adjusted images; a color adjuster to generate sum images by using the reflection components and the resolution-adjusted images; and an image synthesizer to generate readjusted images by readjusting the resolutions of the sum images to the initial resolution of the color component of the input image, and generate a corrected image corresponding to the color component of the input image.