Watermark Detection via Dynamic Correlation Filters

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Solution Overview

Problem

Existing digital watermarking systems struggle to detect and identify intentional and unintentional distortions, geometrical attacks, and cryptographic attacks on electronic media signals, especially when multiple manipulations occur simultaneously, making it difficult to predict the type and strength of the manipulation and design effective templates for each attack.

Innovation Solution

A robust watermark detection system that dynamically designs multiple cross-correlation filters as templates for synchronous detection of watermarks, estimating distortions and generating candidate templates based on estimated parameters such as rotation, scaling, and signal processing, using a score fusion rule to identify the presence of watermarks even under unknown attacks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple templates are designed for each type of manipulation to improve detection accuracy, then measurement precision is improved, but device complexity increases due to the need to handle multiple manipulations simultaneously

Engineering Contradiction:
Improvewatermark detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The watermark detection process is segmented into distinct stages: template generation based on distortion estimation, correlation detection with multiple templates, and decision fusion of individual results. This segmentation allows the system to handle multiple manipulations systematically without overwhelming complexity, as each stage processes specific aspects of the detection problem independently.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adapts to unknown manipulations by estimating distortion parameters from the attacked signal and generating appropriate templates on-the-fly. Rather than requiring pre-defined templates for all possible manipulations, the system dynamically creates templates based on the actual distortions detected in the input signal, making the system both accurate and adaptable.

Inventive Principle:
Principle #15Dynamics

2Reliability

If traditional watermark detection methods are used, then ease of operation is maintained, but reliability decreases when multiple synchronous manipulations occur

Engineering Contradiction:
Improvewatermark detection reliabilityVSAvoidoperational simplicity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system performs preliminary distortion estimation and template generation before the actual watermark detection. By preparing appropriate templates in advance based on estimated manipulations, the system ensures reliable detection under various attack conditions without requiring complex real-time adjustments during the detection phase itself.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

Decision fusion acts as an intermediary mechanism that combines the results from multiple template correlations. Instead of requiring a single complex template to handle all manipulations, the system uses multiple simpler templates with their individual results being fused together, thereby improving reliability while maintaining operational simplicity through modular processing.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If correlation templates are trained for specific attack types, then detection precision improves for known attacks, but adaptability decreases when unknown attacks occur

Engineering Contradiction:
Improveattack detection precisionVSAvoidattack type adaptability
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system changes its detection parameters dynamically by estimating distortion parameters from the attacked signal and generating templates with corresponding parameters. This allows the system to adapt to unknown attack types by adjusting template parameters to match the actual manipulations present in the input signal, rather than being limited to pre-trained templates for specific attack types.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8666111B2System and method for detecting the watermark using decision fusion
Publication Date: 2014.03.04 TATA CONSULTANCY SERVICES LTD
  • US8666111B2 patent drawing
  • US8666111B2 patent drawing
  • US8666111B2 patent drawing

AI summary

The present application provides a robust system and method for detecting the watermark in an electronic media, wherein the electronic media had gone through various kinds of attacks and their combinations thereof which may not be known while detecting the watermarks. The watermark detection system and method can be trained to detect or reject a particular pattern. The watermark detection system and method are based on correlation and are useful in any kind of digital watermarking applications. The watermark detection system and method perform well even when the amount of distortion is not precisely known, wherein the disclosure provides a set of templates or correlation filters, being designed for detection of watermark to cover any kind and combination of attacks. For synchronous attacks, the correlation filter designing is carried out dynamically. Particularly, the template i.e. correlation filter is an attack adaptive frequency domain pattern for watermark detection.