A fuzzy fusion approach for modified contrast enhancement based image forensics against attacks

In this paper the authors propose a universal image counter-forensic scheme that contrasts any detector based on the analysis of the image histogram. Being universal, the scheme does not require knowledge of the detection algorithms available to the forensic analyst, and can be used to conceal traces left in the histogram of the image by any processing tool. Instead of adapting the histogram of the image to fit some statistical model, the proposed scheme makes it practically identical to the histogram of an untouched image, by solving an optimization problem. In doing this, the perceptual similarity between the processed and counter-attacked image is preserved to a large extent. The validity of the scheme in countering both contrast-enhancement and splicing- detection is assessed through experimental validation.

Download Full-text

Evolutionary algorithm based automated medical image fusion technique: Comparative study with fuzzy fusion approach

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC) ◽

10.1109/nabic.2009.5393715 ◽

2009 ◽

Cited By ~ 1

Author(s):

Arpita Das ◽

Mahua Bhattacharya

Keyword(s):

Comparative Study ◽

Image Fusion ◽

Evolutionary Algorithm ◽

Medical Image ◽

Fusion Technique ◽

Medical Image Fusion ◽

Image Fusion Technique ◽

Fuzzy Fusion ◽

Fusion Approach

Download Full-text

Fuzzy Fusion for Multimodal Biometric

Multimodal Biometrics and Intelligent Image Processing for Security Systems ◽

10.4018/978-1-4666-3646-0.ch007 ◽

2013 ◽

pp. 98-111

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Mathematical Tool ◽

Fusion Method ◽

Biometric System ◽

Multimodal Biometric System ◽

Noisy Input ◽

Fuzzy Fusion ◽

Biometric Information ◽

Fusion Approach

Fuzzy logic is a mathematical tool that can provide a simple way to derive a conclusion with the presence of noisy input information. It is a powerful intelligent tool and used heavily in many cognitive and decision-making systems. In this chapter, fuzzy logic-based fusion approach for multimodal biometric system is discussed. After discussing the basics of fuzzy logic, the fuzzy fusion mechanism in the context of a multimodal biometric system is illustrated. A brief discussion on the research conducted for fuzzy logic-based fusion in different application domains is also presented. The biggest advantage of the system is that instead of binary “Yes”/“No” decision, the probability of a match and confidence level can be obtained. A fuzzy fusion-based biometric system can be easily adjusted by controlling weight assignment and fuzzy rules to fit changing conditions. Some results of experimentations conducted in a recent research investigation on two virtual multimodal databases are presented. The discussion on the effect of incorporating soft biometric information with the fuzzy fusion method to make the system more accurate and robust is also included.

Download Full-text