Image Restoration Filter Using Adaptive Gain for Noise Control
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Solution Overview
Problem
Existing image restoration techniques struggle to effectively correct image deterioration caused by optical systems while maintaining noise control, especially in images with high noise levels, leading to suboptimal restoration results.
Innovation Solution
An image processing apparatus and method that obtain image pickup conditions and optical transfer functions to generate an image restoration filter, performing image processing based on noise characteristics to improve restoration accuracy and reduce noise amplification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image restoration processing is performed to correct optical deterioration, then image quality is improved, but noise data increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the restoration gain based on the image pickup condition (ISO sensitivity). The processor changes the restoration gain parameter from a fixed value to a variable value that adapts to different noise levels, thereby optimizing the balance between restoration effectiveness and noise amplification for each specific imaging condition.
2Measurement precision
If restoration processing is performed on images with large resolution deterioration, then image clarity is improved, but noise quantity increases
Solution Approach 1:
The patent implements dynamics by making the restoration gain adaptive rather than static. The gain is dynamically adjusted according to the image pickup condition, allowing the system to respond flexibly to varying levels of optical deterioration and noise, thereby optimizing restoration performance for each specific case.
3Stability of the object's composition
If constant filter gain is maintained during image restoration, then image quality consistency is improved, but restoration effectiveness decreases for various image pickup states
Solution Approach 1:
The patent transitions from a static constant gain approach to a dynamic gain adjustment approach. The filter gain is no longer fixed but varies according to the image pickup condition (such as ISO sensitivity), enabling the system to adapt to different imaging scenarios while maintaining quality consistency through controlled, condition-based adjustments.
Data Source
AI summary
An image processing apparatus includes a first obtaining unit that obtains an image pickup condition of a shot image, a second obtaining unit that obtains information on an optical transfer function based on the image pickup condition, and a processor that generates an image restoration filter using the information on the optical transfer function and performs image processing on the shot image using the image restoration filter. The processor performs the image processing on the basis of information on noise characteristics of the image pickup condition.