Digital Bokeh Image Resolution Enhancement Through Depth-Based Processing
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Solution Overview
Problem
The miniaturization of smartphone camera modules has reduced the thickness, increasing the importance of digital bokeh technology, but existing methods struggle to enhance the resolution of digital bokeh images effectively.
Innovation Solution
An electronic device and method that utilize a depth map to identify an improvement region based on user input, determine blur information, and perform image processing to reduce blur in specific regions, generating a composite image with enhanced resolution by excluding focus regions from blur processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If digital bokeh technology is used to reduce camera module thickness, then device thickness is reduced, but image resolution deteriorates
Solution Approach 1:
The image is segmented into multiple regions: focus region (sharp), bokeh region (blurred), and improvement region (selectively enhanced). This segmentation allows different processing to be applied to different parts of the image, enabling resolution improvement in specific areas without affecting the overall bokeh effect.
Solution Approach 2:
Different quality levels are applied to different regions of the image. The focus region maintains sharp quality, the bokeh region maintains blurred quality for aesthetic effect, and the improvement region receives enhanced resolution processing. This local quality approach resolves the contradiction by improving resolution only where needed rather than uniformly across the entire image.
2Ease of operation
If blur processing is applied to the entire image to create bokeh effect, then aesthetic effect is improved, but useful information in background regions is lost
Solution Approach 1:
The image is divided into bokeh regions (for aesthetic blur) and improvement regions (for preserving useful information). By identifying and segmenting these regions separately, the system can apply blur processing selectively rather than uniformly, preserving important background details while maintaining the aesthetic bokeh effect in appropriate areas.
Solution Approach 2:
Different processing qualities are applied locally: blurred quality for aesthetic bokeh regions and enhanced/sharp quality for improvement regions containing useful information. This resolves the contradiction by allowing both aesthetic effect and information preservation to coexist in different parts of the same image.
3Manufacturing precision
If image processing is performed on the entire image to enhance resolution, then overall resolution is improved, but processing time increases
Solution Approach 1:
The image processing is segmented to operate only on the improvement region rather than the entire image. By identifying the specific region that requires resolution enhancement and processing only that portion, the system significantly reduces processing time while still achieving the desired resolution improvement in the critical areas.
Solution Approach 2:
Instead of applying resolution enhancement to the entire image (excessive action), the system applies processing only to the necessary improvement region (partial action). This partial processing approach achieves sufficient resolution improvement without the time cost of processing the whole image, resolving the contradiction between resolution and processing time.
Data Source
AI summary
An electronic device is provided. The electronic device includes at least one camera, memory, including one or more storage media, storing instructions, and a processor communicatively coupled to the at least one camera and the memory, wherein the instructions, when executed by the processor, cause the electronic device to obtain an image via the at least one camera, generate a depth map including depth data corresponding to a plurality of objects, receive a user input for identifying an object not to be processed with blur processing among the plurality of objects, identify an improvement region based on the object corresponding to the user input and the depth map, identify a focus region based on the object corresponding to the user input and the depth map, and generate an output image based on a composite of the portion of the image where the focus region is excluded and the focus region.