Image Enhancement Circuit Using Wavelet Transform for Sharpness
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Solution Overview
Problem
Existing image enhancement technologies fail to produce sharp, large-sized images on screens, particularly in multimedia display products, leading to suboptimal display quality and increased production costs.
Innovation Solution
An image enhancement method and circuit that separates an original image signal into high and low frequency components using wavelet transforms, enhances the high frequency components, and integrates them back using inverse wavelet transforms to produce a clearer image signal, enhancing the sharpness and clarity of projected images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional image enhancement technologies are used, then production cost is reduced, but the sharpness and clarity of large-sized projected images deteriorates
Solution Approach 1:
The image signal is segmented into different frequency components (high frequency and low frequency signals) through wavelet transform. The high frequency signal contains edge and detail information which is then further segmented and enhanced separately, allowing precise improvement of sharpness without requiring complex overall processing that would increase production cost.
Solution Approach 2:
Different processing strategies are applied to different frequency components of the image. The high frequency components (edges and details) receive enhancement processing while low frequency components (smooth areas) are preserved, achieving local optimization of image quality where it matters most for sharpness perception.
2Manufacturing precision
If complex image enhancement circuits are used, then image sharpness is improved, but circuit volume increases
Solution Approach 1:
The patent replaces complex physical/circuit-based image enhancement mechanisms with a signal processing approach using wavelet transform and frequency separation. This substitution achieves sharpness enhancement through mathematical operations on image signals rather than through complex optical or electronic circuitry, reducing circuit volume while maintaining effectiveness.
3Manufacturing precision
If high frequency components are enhanced, then image sharpness is improved, but image noise may increase
Solution Approach 1:
The patent applies enhancement processing selectively only to the high frequency components of the image signal, rather than processing the entire image uniformly. By targeting only the specific frequency range that contributes to sharpness (edges and details), the enhancement achieves its purpose without excessively amplifying noise components that would degrade image quality.
Data Source
AI summary
An image enhancement method includes the following steps. Separating an original image signal into a high frequency image signal and a low frequency image signal by performing a wavelet transform through a first transformation circuit. Separating the high frequency image signal into a high frequency separation signal and a high-intermediate frequency separation signal by performing the wavelet transform through a second transformation circuit. Separating the low frequency image signal into a low-intermediate frequency separation signal and a low frequency separation signal by performing the wavelet transform. Enhancing high frequency separation signal to generate an enhanced high frequency separation signal configured to enhance the sharpness of an image. Through a inverse transformation circuit, integrating the enhanced high frequency separation signal, the high frequency separation signal, the low-intermediate frequency separation signal, and the low frequency separation signal into an enhanced image signal by performing the inverse wavelet transform.