Image Correction Using HSV Spectral Decomposition for Color Rendering
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Solution Overview
Problem
Existing image processing methods based on the retinex theory face challenges in accurately adjusting color development while maintaining correction balance between RGB spectra, particularly when dealing with colors like yellow, which are split into red and green spectra, leading to difficulties in achieving high color rendering properties.
Innovation Solution
An image processing apparatus that performs image correction using the retinex theory by transforming images between RGB and HSV or HSL color spaces, allowing for hue-based spectral decomposition and synthesis, which enables more precise color correction and balance across different spectral components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image correction is performed using retinex processing on RGB luminance, then visibility improvement is achieved, but color rendering accuracy deteriorates because yellow spectrum is divided into red and green spectra
Solution Approach 1:
The invention segments the image correction process into two distinct paths: one for luminance correction (using retinex processing on grayscale or RGB luminance) and another for color correction (using spectral decomposition on original image data). This segmentation allows each path to optimize for its specific function without interfering with the other, thereby maintaining both visibility improvement and color rendering accuracy.
Solution Approach 2:
The invention introduces an intermediary process where the color correction unit receives both the corrected image signal from retinex processing and the original image signal, then uses spectral decomposition to adjust color balance. This intermediary step reconciles the luminance correction results with the original color information, ensuring accurate color rendering while preserving visibility improvements.
2Productivity
If spectral decomposition is performed on corrected image signal, then processing efficiency is improved, but color accuracy deteriorates due to loss of original spectral information
Solution Approach 1:
The invention applies preliminary action by performing spectral decomposition on the original image signal before or simultaneously with retinex processing, rather than on the already-corrected image signal. This preserves the original spectral information integrity while still enabling efficient color correction through the decomposition results.
Data Source
AI summary
An image signal is subjected to image correction performed by an image correction unit on the basis of retinex processing. The image correction unit performs spectral decomposition for the image signal. A retinex unit performs retinex processing for the image signal subjected to the spectral decomposition, and a spectrum synthesis unit synthesizes the image signal output from the retinex unit. A transformation unit performs transformation from a RGB color space to a HSV color space, and an inverse transformation unit performs transformation from the HSV color space to the RGB color space. The transformation unit transforms an input image signal and outputs the transformed image signal to the spectral decomposition unit. The inverse transformation unit receives the output signal from the spectrum synthesis unit and outputs an image correction signal. Spectral decomposition of the image signal in the spectral decomposition unit is hue-based spectral decomposition in the HSV color space.