Image Stylization via Spatial Frequency Separation
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Solution Overview
Problem
Existing image processing methods fail to effectively manipulate high and low spatial frequencies to achieve desired simplification and stylization of digital images, leading to suboptimal visual coherence and artistic representation.
Innovation Solution
A method involving frequency separation, band-pass mapping, noise reduction, and composite output processing to isolate and manipulate high and low spatial frequencies, allowing for the creation of stylized images by controlling detail amplification and light/shadow bias, and combining these components to produce a final image that emulates artistic techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional image processing methods are used, then image processing is simple and fast, but image simplification and stylization effectiveness is insufficient
Solution Approach 1:
The patent segments the image into different spatial frequency components (low frequency and high frequency) using frequency separation techniques. This allows independent manipulation of each component to achieve stylization effects while maintaining processing efficiency through modular operations.
Solution Approach 2:
The patent applies band-pass mapping that selectively modifies spatial frequency parameters. By adjusting frequency bounds and applying different processing parameters to different frequency bands, the method achieves effective stylization without requiring complete redesign of the processing pipeline.
2Stability of the object's composition
If spatial frequency manipulation is applied, then image structure and visual coherence are improved, but processing time increases
Solution Approach 1:
The patent performs frequency separation and band-pass mapping as preliminary actions before final image synthesis. By preparing frequency components in advance and organizing them systematically, the method improves visual coherence while managing processing time through structured computation steps.
3Measurement precision
If detail amplification is increased, then image readability improves, but noise amplification increases
Solution Approach 1:
The patent applies different processing quality levels to different spatial frequency bands. High frequency bands receive detail amplification for improved readability, while low frequency bands receive different processing to control noise. This localized quality adjustment resolves the contradiction between readability and noise control.
Data Source
AI summary
A computer program product includes instructions for a processor to perform a method of improving image structure and coherence, and/or for simplification/stylization. The method includes inputting the image, by: scanning the image; image capture using a camera; and/or image creation using a computer. Multi-channel images are converted into a single-channel image, which is separated into a first image component—the high spatial frequencies, and a second component image—the low spatial frequencies. The first and second component images are each formed by filtering to remove frequencies outside of respective upper and lower threshold frequencies. A gain multiplier is applied to the filtered first and second component images to control detail amplification. The first and second component images are each blurred at the respective upper and lower threshold frequencies. An improved stylized composite image results by subtracting the gain multiplied first component image from the gain multiplied second component image.