Watermark Insertion in Resized Image Data

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Solution Overview

Problem

Existing methods for inserting digital watermarks into digital content often result in image quality degradation and loss of watermark data due to resizing requirements, which compromises the robustness and resilience of the watermarking process.

Innovation Solution

A method that generates first image data by resizing original image data, inserts watermark data, and adds difference data corresponding to the differences between the original and resized image data, allowing for precise detection of watermark data while minimizing data loss by determining optimal insertion locations based on pixel values and critical detection values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If image data is resized to a predetermined size for watermark insertion, then the watermark can be inserted into the image, but image quality degrades and watermark data may be lost

Engineering Contradiction:
Improvewatermark insertion capabilityVSAvoidimage quality
Core Design Contradiction:
Ease of manufactureVSManufacturing precision

Solution Approach 1:

The patent performs preliminary actions by calculating and storing difference data between the original image and the resized image before watermark insertion. This difference data is then used to restore the original image quality after watermark extraction, preventing quality degradation from the resizing operation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent discards the need for permanent image quality preservation by using difference data that can be recovered and applied. The difference data represents the loss from resizing and is recovered by adding it back to the watermarked resized image, thus recovering the original quality without permanently altering the original image.

Inventive Principle:
Principle #34Discarding and recovering

2Reliability

If the resized image with watermark is distributed, then the watermark is protected, but the watermark data may become lost when resized again

Engineering Contradiction:
Improvewatermark protectionVSAvoidwatermark data
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent applies beforehand cushioning by pre-calculating and storing difference data that compensates for potential future resizing operations. This difference data acts as a cushion against information loss, ensuring that even if the watermarked image is resized again during distribution, the watermark data remains recoverable and intact.

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

3Manufacturing precision

If difference data is added to restore original image quality, then image quality is maintained, but the complexity of the watermarking process increases

Engineering Contradiction:
Improveimage qualityVSAvoidwatermarking process
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent extracts the essential function of quality restoration into a separate, modular component - the difference data. By separating the watermark insertion process from the quality restoration process, the complexity is managed through modularization, where the difference data acts as an independent restore mechanism that can be applied after watermark extraction without complicating the core watermarking functionality.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS9947066B2Method, apparatus and system for inserting watermark data
Publication Date: 2018.04.17 SAMSUNG ELECTRONICS CO LTD
  • US9947066B2 patent drawing
  • US9947066B2 patent drawing
  • US9947066B2 patent drawing

AI summary

An apparatus and method for a sensor network, machine-to-machine (M2M) communication, machine type communication (MTC), and Internet of things (IoT) are disclosed. The disclosure may be applied to, for example, intelligent services related to the above technologies, in conjunction with smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail business, security, and safety related services. The method includes generating first image data by resizing original image data to a predetermined size, inserting watermark data into the first image data, and adding difference data corresponding to the difference between the original image data and the first image data to second image data that is image data in which the watermark data is inserted.