Image Clipping Unit for Manual Focus on Low-Res Displays
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Solution Overview
Problem
The resolution mismatch between high-resolution camera images and small, low-resolution display devices on camera bodies hinders precise manual focus operations, as detailed image recognition is difficult for users, leading to challenges in accurately focusing, especially when capturing high-resolution images like 4K or 8K.
Innovation Solution
An image processing device that includes an image clipping unit to set a clipping region for detected target subjects based on their size, performing clipping processing to enhance focus assistance, and an image combining unit to combine reduced and clipped image data for display, allowing users to visually assess focus on a single screen with improved resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the display device resolution is increased to match high-resolution camera images, then image detail recognition is improved, but device size and cost increase making it impractical for camera bodies
Solution Approach 1:
The display screen is divided into a through image display area and a clipped image display area. The clipped image area shows a high-resolution cropped portion of the target subject, while the through image area shows the full scene at lower resolution. This segmentation allows users to view detailed focus information without requiring the entire display to be high-resolution.
Solution Approach 2:
The clipped image displayed in the dedicated area has higher resolution and detail than the through image, matching the camera's capture resolution. This local quality enhancement is applied only where needed for focus assessment, rather than requiring the entire display to have high resolution.
2Adaptability or versatility
If the captured image is reduced in size to fit the display device, then display compatibility is improved, but image detail is lost making focus operation difficult
Solution Approach 1:
A clipped image is extracted from the captured image data, isolating the target subject or specific region of interest. This extracted clipped image is then displayed at high resolution in a dedicated area, preserving detail that would be lost if the entire image were simply scaled down.
Solution Approach 2:
The display is organized into multiple dimensional layers: the through image provides overall context at lower resolution, while the clipped image provides detailed view at higher resolution. This multi-dimensional display approach allows simultaneous presentation of different resolution levels without compromising either display compatibility or image detail.
3Device complexity
If a small display device is used on the camera body, then device portability is improved, but visual recognition capability deteriorates
Solution Approach 1:
The limited display area is segmented into functional zones: a through image area for overall scene monitoring and a clipped image area for detailed focus assessment. This segmentation maximizes the utility of the small display by presenting different types of information in optimized formats within the same physical space.
Solution Approach 2:
The clipped image portion is rendered at high resolution to match the camera's capture capability, providing sufficient visual detail for precise focus operation despite the small overall display size. This local high-quality rendering is concentrated where it is most needed for the focusing task.
Data Source
AI summary
An image processing device includes an image clipping unit that sets a clipping region for a target subject detected in input image data according to an image size of a specific portion related to the target subject, and performs clipping processing.


