Image Color Conversion with Frequency-Based Noise Suppression
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Solution Overview
Problem
Image processors in electronic devices face challenges in maintaining image quality due to increased overhead, leading to noise amplification during color conversion processes, particularly in high-frequency component data.
Innovation Solution
An image processing method and apparatus that separates input image data into high-frequency and low-frequency components, applies color conversion preprocessing to adjust high-frequency data values, and performs color inverse conversion using a matrix to reduce noise amplification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If color conversion is performed on input image data to change color space, then color information is transformed to desired format, but noise is amplified particularly in high-frequency component data
Solution Approach 1:
The patent divides input image data into high-frequency component data and low-frequency component data using a data component separation module. Color conversion is then applied selectively: low-frequency data undergoes full color conversion while high-frequency data receives adjusted conversion with reduced gain. This segmentation allows the system to achieve color space transformation while preventing noise amplification in high-frequency components by treating them differently from low-frequency components.
Solution Approach 2:
The patent applies different color conversion characteristics to different frequency components of the same image data. Specifically, the data transmission module adjusts data values of high-frequency component data based on corresponding low-frequency component data, applying local quality adjustment where noise is most problematic. This allows optimal color conversion for each frequency band, maintaining color accuracy where needed while suppressing noise amplification in high-frequency regions.
2Manufacturing precision
If image processing operations are increased to improve image quality, then processing capability is enhanced, but overhead increases degrading picture quality
Solution Approach 1:
The patent applies partial color conversion to high-frequency component data rather than full conversion. The data transmission module selectively adjusts only certain data values in high-frequency components based on low-frequency correspondence, applying partial action where it benefits image quality while avoiding excessive processing that would amplify noise. This reduces overall processing overhead compared to applying full color conversion to all image data.
3Measurement precision
If high-frequency component data is processed with full color conversion, then color accuracy is maintained, but noise is amplified reducing image quality
Solution Approach 1:
The patent changes the conversion parameters for high-frequency component data compared to low-frequency data. The data transmission module modifies data values using adjusted gain factors and selective correction based on low-frequency component correspondence. This parameter change allows the system to maintain adequate color accuracy while reducing the aggressive conversion that would otherwise amplify high-frequency noise, achieving a optimized balance between color fidelity and noise suppression.
Data Source
AI summary
An image processing method for converting a color space of input image data including color information is provided. The image processing method includes: preprocessing the input image data according to a frequency thereof to generate a preprocessed result; and color-converting the preprocessed result to generate output image data. The color space of the input image data is different from a color space of the output image data.