Image Synthesis Device Edge Noise Reduction
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Solution Overview
Problem
Existing image synthesis techniques for correcting camera shake blur often result in increased noise components in edge areas, leading to poor image quality due to the difference in noise levels between short-exposure and long-exposure images.
Innovation Solution
An image synthesis device that selects pixels within specific filter areas around pixels of interest on both short-exposure and long-exposure images, synthesizing them to reduce blur and noise, particularly in edge areas, by adjusting the synthesis ratio based on allowable ranges and noise components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the synthesis ratio of short-exposure image is increased for edge areas, then camera shake blur is corrected, but noise components in edge areas increase
Solution Approach 1:
The patent applies different synthesis strategies to different regions of the image. For non-edge areas, it uses the long-exposure image with higher synthesis ratio to minimize noise. For edge areas, it uses the short-exposure image with higher synthesis ratio to maintain sharpness and correct camera shake blur. This local differentiation resolves the contradiction by optimizing each region according to its specific requirements.
Solution Approach 2:
The patent segments the image into edge areas and non-edge areas based on edge detection. This segmentation allows independent optimization of synthesis ratios for each segment, enabling noise reduction in non-edge areas while maintaining sharpness in edge areas, thus resolving the contradiction between sharpness and noise.
2Manufacturing precision
If pixels from short-exposure image are used for synthesis, then edge sharpness is maintained, but noise components increase
Solution Approach 1:
The patent determines whether each pixel belongs to an edge area or non-edge area and applies different synthesis ratios accordingly. This local quality approach ensures that edge sharpness is maintained where needed while noise is minimized in non-edge areas, improving overall image quality reliability.
Solution Approach 2:
The patent dynamically changes the synthesis ratio parameter based on the pixel type (edge or non-edge). By adjusting this parameter locally, the system optimizes the balance between edge sharpness and noise reduction, thereby improving image quality reliability.
3Manufacturing precision
If multiple images are synthesized, then camera shake blur is reduced, but processing complexity increases
Solution Approach 1:
The patent extracts only the necessary information from multiple images (short-exposure and long-exposure images) and synthesizes them using a simplified ratio-based approach. This extraction and simplification reduces processing complexity while maintaining image clarity improvement.
Data Source
AI summary
An image synthesis device includes: a first pixel selection unit which selects, from a first filter area around a pixel of interest on a first image, a first pixel having a value within a first allowable range including a value of a pixel of interest; a second pixel selection unit which sets a second filter area around a reference pixel located on a second image having a longer exposure time than the first image in the same position as the pixel of interest, and selects, from the second filter area, a second pixel having a value within a second allowable range including the value of the pixel of interest; and a synthesis unit which sets a synthetic value, acquired by synthesizing the values of the first and the second pixel, as the value of a pixel on the synthetic image in the same position as the pixel of interest.