Foreground Watermark Extraction via Channel Difference Feature Maps
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Solution Overview
Problem
Existing digital watermarking technologies face challenges in ensuring the success rate of foreground watermark extraction, particularly when the display content on screens features complex colors and textures, which interfere with the watermark layer.
Innovation Solution
An image processing method that involves acquiring a watermark image, determining channel difference feature maps by distinguishing between image channels with and without the foreground watermark, and performing feature enhancement processing to obtain a watermark enhanced feature map, which improves the extraction success rate of the watermark.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If foreground watermark is embedded in display content with complex colors and textures, then the watermark is harder to extract, but the display content remains visually rich and engaging
Solution Approach 1:
The patent segments the image processing by separating the watermark extraction process into distinct stages: obtaining the watermark image, determining channel difference feature maps, and performing feature enhancement. This segmentation allows each stage to address specific challenges independently, improving overall extraction reliability despite complex display content
Solution Approach 2:
The patent transitions from spatial domain processing to frequency domain processing by generating feature maps and performing feature enhancement. This dimensional change in the processing space allows the watermark to be extracted more effectively by exploiting frequency characteristics that are obscured in the spatial domain by complex colors and textures
2Reliability
If feature enhancement processing is applied to extract watermark, then extraction success rate improves, but processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-obtaining a watermark image and determining channel difference feature maps before the actual extraction process. This preliminary processing prepares the data in advance, making the subsequent feature enhancement and extraction more efficient and less complex
Solution Approach 2:
The patent introduces channel difference feature maps as an intermediary representation between the original watermark image and the final extracted watermark. This intermediary form facilitates the extraction process by highlighting the differences between watermarked and non-watermarked channels, reducing the complexity of direct extraction
Data Source
AI summary
The present disclosure relates to an image processing method, readable medium and electronic device. The method comprises: acquiring a watermark image, wherein the watermark image is an image embedded with a foreground watermark, and the foreground watermark is generated by watermark information; determining a first image channel embedded with the foreground watermark and a second image channel not embedded with the foreground watermark in the watermark image, and determining a channel difference feature map of the watermark image according to channel information of the first image channel and channel information of the second image channel; performing feature enhancement processing on the channel difference feature map to obtain a first watermark enhanced feature map of the watermark image, wherein the first watermark enhanced feature map is used for extracting the watermark information of the watermark image.