Image Synthesis Unit Bayer Matrix Processing
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Solution Overview
Problem
The existing handshake correcting techniques for image-adding-type image capturing apparatuses face inefficiencies due to the heavy process load caused by converting Bayer matrix images to RGB images, which results in limited improvement in image processing efficiency.
Innovation Solution
The apparatus includes an image pickup device with photoelectric conversion elements arranged in a predetermined pattern, an acquisition unit for successive image acquisition, and a synthesis unit that compensates positional deviations by adding images with the same color layout as the photoelectric conversion elements, reducing the synthesis process load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If Bayer matrix images are converted to RGB images for synthesis, then color information is improved, but process load increases
Solution Approach 1:
The patent performs color interpolation (converting Bayer matrix to RGB) only once on the reference image before synthesis, rather than converting each captured image separately. This preliminary action reduces the total number of conversions from N+1 to just 1, significantly lowering process load while maintaining color information quality in the final synthesized image
Solution Approach 2:
The patent merges the color interpolation step with the reference image preparation phase, combining two operations (conversion and synthesis) into a more efficient workflow where only the reference image undergoes full color conversion, and subsequent images are synthesized directly in Bayer matrix format
2Reliability
If multiple RGB images are synthesized for handshake correction, then image quality is improved, but processing time increases
Solution Approach 1:
The reference image is pre-converted to RGB format and stored before the actual synthesis process. When multiple images need to be synthesized for handshake correction, the system only needs to perform addition operations on Bayer matrix images against this pre-converted reference, rather than converting each image individually, thus reducing processing time while maintaining image quality
Solution Approach 2:
The patent applies color conversion only partially - specifically to the reference image or to the final synthesized result - rather than converting all intermediate images. This partial action approach maintains sufficient color information for high-quality output while avoiding the excessive processing time that would result from full conversion of all images in the sequence
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces the synthesis process load by synthesizing images with the same color layout as the image pickup device, resulting in shorter processing times and improved efficiency compared to traditional methods.
Implementation Method 1
an image pickup device in which photoelectric conversion elements corresponding to color components are arranged in a predetermined pattern
Data Source
AI summary
An image capturing apparatus includes: an image pickup device in which photoelectric conversion elements corresponding to color components are arranged in a predetermined pattern; an acquisition unit that successively acquires a plurality of images by using the image pickup device; a detector that detects a positional deviation among the plurality of images; and a synthesis unit that compensates the positional deviation to synthesize the plurality of images by addition, wherein the synthesis unit adds the plurality of images in a state where the images have the same color layout as that of the photoelectric conversion elements in the image pickup device.