Image Restoration Channel Selection Sharpness Optimization
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Solution Overview
Problem
Existing image restoration technologies fail to effectively extract and enhance the channel with the highest sharpness from RGB images, leading to suboptimal image quality due to varying wavelengths and lens positions.
Innovation Solution
An apparatus and method that separates RGB channels based on wavelength and lens distance, applies a high pass filter to determine edge strength, and uses a specific filter to restore the channel with the highest sharpness, along with a luminance correction mechanism to improve image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light passes through a lens with fixed position, then images are formed at different locations for different wavelengths (R, G, B channels), but this causes at least one channel to have reduced sharpness on the sensor
Solution Approach 1:
The patent segments the image processing into separate channel operations. It extracts each color channel (R, G, B) independently from the input image, evaluates sharpness for each channel separately, and applies restoration processing to the specific channel with highest sharpness. This segmentation allows the system to handle the complexity of multi-channel processing while achieving optimal sharpness in the output image.
2Measurement precision
If the lens and sensor are fixed at specific locations, then the channel forming the highest sharpness image changes according to subject location, but this requires dynamic adjustment to maintain optimal image quality
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically evaluates the sharpness of each color channel and autonomously determines which channel has the highest sharpness without requiring manual intervention or complex external control systems. The sharpness evaluation unit automatically compares channels and selects the optimal one for restoration processing, enabling the system to adapt to different subject locations and conditions independently.
3Measurement precision
If all channels are processed equally, then processing time is reduced, but the output image does not achieve maximum sharpness
Solution Approach 1:
The patent extracts only the essential information needed for sharpness optimization by identifying and processing only the specific color channel with the highest sharpness, rather than processing all channels equally. The sharpness evaluation unit extracts sharpness metrics from each channel, and the restoration processing is applied selectively to the optimal channel, thereby achieving maximum sharpness while minimizing unnecessary processing operations.
Data Source
AI summary
A method and apparatus for restoring an image. The method includes extracting predetermined channels from image data including a plurality of channels; and restoring the extracted channels using a first filter.