Image Processing Light Spot Identification and Differentiated Enhancement
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Solution Overview
Problem
Existing image processing methods for mobile terminals often mistakenly process highlighted objects as light spots, leading to a lack of details and reduced displaying effect in output images, as they apply uniform processing operations to both light spots and other areas.
Innovation Solution
An image processing method that acquires shooting brightness parameters, determines the current environment, and performs different processing operations on light spot areas and other areas, using bokeh processing and brightness-increased processing specifically on light spots, while applying only bokeh processing to other areas, thereby distinguishing and enhancing light spots without affecting highlighted objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform processing operations are applied to all bright areas in the image, then the bokeh effect is achieved, but highlighted objects are mistakenly processed as light spots leading to loss of details
Solution Approach 1:
The patent applies different processing operations to different regions of the image based on their characteristics. Light spot areas receive bokeh processing and brightness-increased processing, while other areas (including highlighted objects) receive only bokeh processing or no processing. This local differentiation prevents highlighted objects from being mistakenly processed as light spots, thereby preserving their details while still achieving the desired bokeh effect on actual light spots.
2Productivity
If simple brightness threshold processing is used to identify light spots, then the processing speed is fast, but the accuracy of distinguishing light spots from highlighted objects is low
Solution Approach 1:
The patent uses shooting brightness parameters (such as exposure time and ISO value) to dynamically determine the current environment and adjust the brightness threshold for light spot identification. By changing the threshold parameter according to environmental conditions and camera settings, the system can accurately distinguish light spots from highlighted objects while maintaining efficient processing speed. This adaptive parameter adjustment resolves the contradiction between simple fast processing and accurate detection.
Data Source
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AI summary
An image processing method and relative products are provided. The image processing method may include: acquiring (101, 201, 301) an image to be processed when shooting a picture; acquiring (102, 202, 302) N shooting brightness parameters for adjusting a camera corresponding to the shooting, where N is a positive integer; determining (103, 203, 303) a current environment according to the N shooting brightness parameters; determining (104) a light spot area of the image to be processed according to the current environment; and performing (105) different processing operations on the light spot area and other areas of the image to be processed, so as to acquire an output image.