Imaging Apparatus Live View Blurriness Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Imaging apparatuses face challenges in displaying clear Live View images during auto-focus operations, as wobbling drive methods can result in blurry images due to the focus lens adjustments, which existing correction methods struggle to fully address.
Innovation Solution
An imaging apparatus that captures multiple images and synthesizes regions with high blurriness from current frames with regions of low blurriness from preceding frames, using an image synthesis unit to replace blurry areas with clear ones, thereby reducing image degradation during auto-focus operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If wobbling drive is performed during Live View display for contrast AF, then focus adjustment capability is improved, but image clarity deteriorates due to lens movement causing blurriness
Solution Approach 1:
The system captures multiple frames before and during the wobbling drive operation, preparing image data in advance. By capturing a plurality of frames including before wobbling drive starts, the system has pre-prepared clear image data that can be used for synthesis to correct blurriness caused by lens movement during Live View display
Solution Approach 2:
The system synthesizes multiple captured frames by combining image data from different time points (before wobbling and during wobbling). This merging of multiple frames allows the clear regions from the pre-wobble frame to compensate for the blurry regions caused by lens movement during wobbling drive
2Manufacturing precision
If deconvolution processing is used to correct blurriness, then image clarity is improved, but processing complexity increases
Solution Approach 1:
Instead of applying complex deconvolution processing to correct blurriness, the system creates a copy of the clear image data from the frame captured before wobbling drive. This copied clear image data is then synthesized with the current frame, providing a simpler alternative to mathematical deconvolution while achieving similar blurriness correction效果
Solution Approach 2:
The system uses its own previously captured image data (from before wobbling drive) to correct the blurriness in the current frame. This self-service approach eliminates the need for external complex processing algorithms by utilizing the imaging apparatus's own historical image data for correction
Data Source
AI summary
An imaging apparatus includes an imaging element, an imaging lens, an AF controller, an image synthesis unit, and a display. The imaging element captures multiple images of an object to obtain a plurality of image data. The imaging lens includes a focus lens and is used for generating an image of the object in the imaging element. The AF controller controls a focus state of the imaging lens. The image synthesis unit synthesizes a region with a large amount of blurriness in image data of a current frame and a region with a small amount of blurriness in image data of a preceding frame obtained before the image data of the current frame, among the plurality of image data obtained by the imaging element by the plurality of times of image capturing during the drive of the focus lens. The display displays an image synthesized by the image synthesis unit.