Detecting Image Brush Editing Using the Discarded Coefficients and Intentions

This paper describes a quick and simple method to detect brush editing in JPEG images. The novelty of the proposed method is based on detecting the discarded coefficients during the quantization of the image. Another novelty of this paper is the development of a subjective metric named intentions. The method directly analyzes the allegedly tampered image and generates a forgery mask indicating forgery evidence for each image block. The experiments show that our method works especially well in detecting brush strokes, and it works reasonably well with added captions and image splicing. However, the method is less effective detecting copy-moved and blurred regions. This means that our method can effectively contribute to implementing a complete imagetampering detection tool. The editing operations for which our method is less effective can be complemented with methods more adequate to detect them

Editor’s Note

The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. This regular issue presents research works based on different AI methods such as deep networks, genetic algorithms or classification trees algorithms. These methods are applied into many and various fields as video surveillance, forgery detection, facial recognition, activity recognition, hand written character recognition, clinical decision, marketing, renewable energy or social networking

Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm

Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed over the years, and novel approaches continue to emerge. This paper proposes a new technique for optimizing image compression using Fast Fourier Transform (FFT) and Intelligent Water Drop (IWD) algorithm. IWD-based FFT Compression is a emerging ethodology, and we expect compression findings to be much better than the methods currently being applied in the domain. This work aims to enhance the degree of compression of the image while maintaining the features that contribute most. It optimizes the FFT threshold values using swarm-based optimization technique (IWD) and compares the results in terms of Structural Similarity Index Measure (SSIM). The criterion of structural similarity of image quality is based on the premise that the human visual system is highly adapted to obtain structural information from the scene, so a measure of structural similarity provides a reasonable estimate of the perceived image quality

Entrepreneurial Education Strengthening Resilience, Societal Change and Sustainability

Working life is in a major transition and environmental, societal, and economic problems challenge human activities. The need to develop reliance and sustainability also through higher education is evident. It has been anticipated that emphasis on entrepreneurship competencies will be even stronger in the future. In this reprint, we provide insights on how to develop entrepreneurial competencies within higher education and its existing networks. It guides the reader to understand how political documents steer the implementation of global goals and what could be improved. Second, we present how pedagogical solutions and models can meaningfully support the development of entrepreneurial competencies in the field of higher education. We show the complexity of this phenomenon, thus developing a deeper understanding of this educational issue. Third, we highlight the essence of developing teacher education in this context. Fourth, we stress that entrepreneurial competencies are also needed in the working life. We present some interesting key points for developing entrepreneurial higher education from the entrepreneurial ecosystem point of view. It consists of 13 articles from international scientific experts in this field and provides new knowledge, ideas and opportunities for creating practices to enhance the development entrepreneurial, sustainable and resilient societies. It is targeted to researchers, policy-makers, higher education providers, stakeholders, educators and trainers