Image Processing Circuit for Text Readability Enhancement
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Solution Overview
Problem
Conventional image processing methods fail to effectively enhance text readability in digitalized images, especially those with low contrast, leading to uncomfortable viewing experiences due to noise interference and adverse effects like ringing, and require costly two-dimensional processing and complex OCR operations.
Innovation Solution
A self-adaptive image processing circuit that analyzes luminance and chrominance information to determine whether pixels belong to text, picture, or background portions, adjusting luminance values accordingly to enhance text display without simultaneous adjustments between bright and dark portions, thus simplifying the processing procedure and avoiding excessive hardware costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a simplex sharpness filter is applied to enhance text portions, then text sharpness is improved, but ringing artifacts and noise interference occur causing discomfort
Solution Approach 1:
The patent applies different processing strategies to different regions of the image based on luminance characteristics. Bright portions and dark portions are processed separately with tailored enhancement parameters, allowing text sharpness improvement in text regions while avoiding excessive enhancement in background regions that causes ringing artifacts.
Solution Approach 2:
The patent dynamically adjusts enhancement parameters based on local luminance characteristics. By calculating luminance values and comparing them against thresholds, the system adapts the degree of sharpening applied to different regions, preventing noise amplification and ringing while maintaining text clarity.
2Illumination intensity
If luminance values of bright portions are enhanced to improve text visibility, then text contrast is improved, but over-shoot phenomenon occurs causing discomfort
Solution Approach 1:
The patent implements separate processing paths for bright portions and dark portions. By identifying regions based on luminance thresholds and applying针对性 enhancement only where needed, the system improves text contrast in text regions while preventing over-shoot artifacts in background regions.
Solution Approach 2:
The patent preemptively identifies text portions versus background portions using luminance analysis before applying enhancement. This preliminary classification allows the system to apply enhancement only to text regions, preventing the over-shoot phenomenon from occurring in the first place rather than correcting it afterward.
3Manufacturing precision
If two-dimensional processing and OCR operations are applied to enhance text display, then text readability is improved, but hardware cost and processing complexity increase
Solution Approach 1:
The patent extracts only the essential luminance information from image pixels to identify text portions. By focusing solely on luminance threshold comparison rather than full two-dimensional processing or OCR, the system achieves text enhancement with minimal processing complexity and hardware requirements.
Solution Approach 2:
The patent uses simple luminance threshold comparison and basic arithmetic operations instead of complex OCR algorithms and two-dimensional processing. This approach employs computationally inexpensive methods that can be implemented with simple hardware, avoiding the need for expensive and complex processing systems.
Data Source
AI summary
An image processing circuit and method thereof for enhancing text displaying of an image are provided. The image processing circuit performs the method. Firstly, at least a first illumination area and at least a second illumination, which is located adjacent to the first illumination area in the image are defined according to luminance values of a plurality of pixels of the image. Next, a luminance regulation value of at least one of the pixels in the first illumination area is calculated, and the luminance value of the corresponding pixel in the first illumination area is adjusted according to the luminance regulation value. During processing of the image, the luminance values of all of the pixels in the second illumination area are restricted from any adjustment.