Adaptive Filter Image Processing Deblurring
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Solution Overview
Problem
Conventional image processing techniques fail to effectively combine underexposed sharp images and overexposed blurred images of the same scene to produce a high-resolution, fully exposed and sharp image, as they often result in blurring due to camera or subject motion, and existing methods do not adequately address the misalignment and exposure differences between the images.
Innovation Solution
The method involves adaptive filtering of a sharp, underexposed image and a blurred, well-exposed image, where the underexposed image is interpolated and aligned with the blurred image, and coefficients are computed using linear regression to produce a filtered image that is less blurred than the original, with the option to repeat filtering for improved quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple differently exposed lower resolution images are combined using conventional super-resolution techniques, then a higher resolution image can be produced, but blurring due to camera or subject motion degrades the image quality
Solution Approach 1:
The patent applies deblurring processing to source images before combining them through super-resolution. By performing the deblurring action in advance (preliminary action), the method removes motion-induced blur from individual images before they are combined, ensuring that the final high-resolution image maintains sharpness and detail without being degraded by prior blurring effects.
2Reliability
If adaptive filtering is applied to mitigate processing effects, then image quality improves, but device complexity increases
Solution Approach 1:
The patent employs adaptive filtering techniques that use feedback mechanisms to iteratively improve image quality. The filter adjusts its parameters based on the characteristics of the input images and the desired output, continuously refining the deblurring and super-resolution processes. This feedback-based approach allows the system to achieve high image quality while managing complexity through intelligent, data-driven adjustments rather than fixed complex processing pipelines.
Data Source
AI summary
A method and apparatus for providing image processing. For one embodiment of the invention, an image processing apparatus is arranged to process a first relatively underexposed and sharp image of a scene, and a second relatively well exposed and blurred image, nominally of the same scene, the first and second images being derived from respective image sources. The apparatus provides a portion of the relatively first underexposed image as an input signal to an adaptive filter; and a corresponding portion of the second relatively well exposed image as a desired signal to the adaptive filter. The adaptive filter produces an output signal from the input signal and the desired signal; and an image generator constructs a first filtered image from the output signal, relatively less blurred than the second image.