Focus Score Calculation for Image Blur Detection
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Solution Overview
Problem
Existing image processing technologies fail to provide effective warnings for insufficient focus in photographed images, particularly due to camera shake or optical defocusing, leading to unnoticed blurring, especially when images are displayed on small screens or enlarged.
Innovation Solution
An image processing device and method that calculates focus scores for photographed images, determines the degree of focus in specific areas, and issues warnings through display, sound, vibration, or light, allowing users to recognize focus issues promptly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed to calculate focus scores and determine degree of focus, then recognition of focus quality is improved, but processing time and complexity increase
Solution Approach 1:
The photographed image is divided into multiple areas, and focus scores are calculated for each area separately. This segmentation allows the system to evaluate focus quality in different regions independently, improving overall measurement precision while keeping each individual calculation simple and efficient.
Solution Approach 2:
The system automatically calculates focus scores and determines degree of focus without requiring user intervention. The warning determination unit self-evaluates the focus quality by comparing average focus scores against threshold values, providing automated focus assessment that reduces processing complexity for the user.
2Measurement precision
If focus assessment is performed on the entire photographed image, then comprehensive focus evaluation is improved, but processing time increases
Solution Approach 1:
Instead of processing the entire image as one unit, the system divides it into multiple areas and calculates focus scores for each area separately. This segmentation enables comprehensive focus evaluation across the whole image while reducing the computational burden on any single processing step, thereby decreasing overall processing time.
Solution Approach 2:
The system calculates focus scores for multiple areas but determines the degree of focus based on the average value of these scores rather than analyzing every pixel in detail. This partial action approach provides sufficient focus assessment without the excessive processing time that would result from exhaustive analysis of the entire image.
Data Source
AI summary
The present technology relates to an image processing device and method, and a program for enabling easier recognition of the degree of focus of an image after photographing.A focus area determining unit calculates focus scores based on a photographed image, the focus scores indicating the degrees of focus of the respective areas in the photographed image. A warning control unit determines the degree of focus of a predetermined area in the photographed image in accordance with the focus scores for the respective areas, and issues a warning instruction in accordance with a result of the determination. The warning is issued by displaying the warning, outputting a warning sound, vibrating, or emitting light, for example. As the degree of focus is determined in accordance with the focus scores, neither blurring nor defocusing is caused, and the user can be prompted to check the degree of focus. The present technology can be applied to digital still cameras.