Weighted Image Enhancement via Edge Probability
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Solution Overview
Problem
Digital images often suffer from blur or aliasing when zoomed in, as existing technologies do not effectively enhance image quality without increasing resolution.
Innovation Solution
A weighted image enhancement method and system that calculates weights for original and sharpened pixels based on edge probability, using a weight table to generate an enhanced image, which includes edge detection and sharpening processes to improve image clarity without increasing resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If picture resolution is increased to avoid blur or aliasing when zoomed in, then image quality is improved, but file size increases
Solution Approach 1:
The patent applies local quality by performing edge detection on the original image and assigning different enhancement weights to different regions based on their probability of being on an edge. Pixels with higher edge probability receive different processing than pixels with lower edge probability, allowing selective enhancement of important features while maintaining efficiency and avoiding uniform processing of the entire image.
Solution Approach 2:
The patent changes parameters by using a weight table that stores pre-calculated enhancement weights for different edge probabilities. By looking up weights from the weight table based on detected edge probabilities, the system dynamically adjusts enhancement parameters without requiring complex real-time calculations, thus improving processing efficiency while maintaining image quality.
2Measurement precision
If conventional sharpening is applied to all pixels, then image clarity is improved, but edge artifacts and noise are amplified
Solution Approach 1:
The patent applies local quality by performing edge detection on the original image and assigning different enhancement weights to different regions based on their probability of being on an edge. Pixels with higher edge probability receive different enhancement weights than pixels with lower edge probability, allowing selective enhancement of important features while avoiding excessive processing that would amplify noise and artifacts.
Solution Approach 2:
The patent applies partial action by selectively enhancing only certain pixels based on their edge probability rather than applying uniform sharpening to all pixels. The weight table provides enhancement weights ranging from 0 to 1, allowing the system to apply partial enhancement where needed and no enhancement where it would be harmful, thus avoiding the amplification of noise and artifacts while maintaining clarity in important regions.
Data Source
AI summary
A weighted image enhancement method includes receiving an original image. The original image includes several original pixels. The original image is sharpened to generate a sharpened image. The sharpened image includes several sharpened pixels. Edge detection is performed with respect to the original image to generate a probability of whether each original pixel is on an edge. An enhancement mode setting is received. A corresponding weight table corresponding to the enhancement mode setting is looked up to obtain a corresponding enhancement weight of each original pixel according to the probability of whether each original pixel is on an edge. A weight calculation is performed utilizing each original pixel and its corresponding sharpened pixel according to its corresponding enhancement weight to generate an enhanced image. The enhanced image is displayed by a display unit.