Ball Blur Effect Reproduction via Luminance Gradient Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing methods fail to accurately reproduce the aesthetic quality of ball blur effects in images captured by digital cameras, as they cannot replicate the optical characteristics of lenses effectively.
Innovation Solution
An image processing apparatus and method that detects point light sources in images and applies a blurring process where the surrounding areas are made brighter than the central areas, mimicking the optical diffraction phenomenon to create a more authentic ball blur effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image processing methods are used to blur light source areas, then blurring effect is achieved, but the aesthetic quality and authenticity of ball blur cannot be reproduced
Solution Approach 1:
The patent applies different luminance adjustment strategies to different regions within the ball blur area. Specifically, the luminance of pixel groups near the center of the light source area is increased more strongly than those at the periphery, creating a realistic luminance distribution that mimics actual optical ball blur effects captured by camera lenses.
Solution Approach 2:
The patent dynamically adjusts the blur radius and luminance enhancement parameters based on the detected light source area characteristics. By calculating the distance from each pixel group to the center of the light source area and applying gradient-based luminance adjustments, the system reproduces the complex optical characteristics of ball blur with varying intensity across different regions.
2Productivity
If simple blurring filters are applied to light source areas, then processing speed is maintained, but the complicated luminance variation pattern of actual ball blur cannot be reproduced
Solution Approach 1:
The patent divides the ball blur area into multiple pixel groups and processes each group independently based on its distance from the center of the light source area. This segmentation allows the system to apply different luminance enhancement levels to different regions, accurately reproducing the complex luminance distribution pattern while maintaining processing efficiency through systematic organization.
Solution Approach 2:
The patent focuses computational resources primarily on the regions where ball blur effects are most prominent (near the center of light source areas), applying more intensive luminance adjustments there, while using lighter processing for peripheral regions. This partial action strategy maintains high processing speed while achieving authentic ball blur reproduction in the most critical areas.
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
The solution effectively reproduces the ball blur effect by adjusting luminance values, resulting in a more faithful representation of images captured through a lens, enhancing the aesthetic quality of blurred areas.
Implementation Method 1
A ball blur is generated by the optical characteristics of a lens of the digital camera and the brightness varies in a ball-shaped blurring image
Data Source
AI summary
A blurring process is performed on an addition area including a point light source area detected in an image to be processed so that the nearer to the circumference of the addition area, the higher the luminance value while an addition coefficient is being increased according to a distance from the center.