A Survey of Digital Image Watermarking Optimization based on Nature Inspired Algorithms NIAs

Jumana Waleed,Huang Dong Jun,Thekra Abbas,Saad Hameed,Hiyam Hatem 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6

Nature-inspired algorithms (NIAs) have gained a significant popularity in recent years to tackle hard real world problems and solve complex optimization functions whose actual solution does not exist. Many new algorithms have been developed which show their capabilities almost in every aspect, where rapid solutions are needed. A survey of the NIAs that are used to find the optimal digital image watermarking has been presented in this paper. Different paradigms have been considered, Genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), ant colony optimization (ACO), bee algorithm (BA), cat swarm optimization (CSO), firefly algorithm (FA) and cuckoo search algorithm (CS) that help to find the optimal digital image watermarking.

An Immune Secret QR-Code Sharing based on a Twofold Zero-Watermarking Scheme

Jumana Waleed,Huang Dong Jun,Sarah Saadoon,Saad Hameed,Hiyam Hatem 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.4

A robust twofold zero-watermarking scheme for secret QR-Code (Quick Response Code) sharing is proposed in order to increase the security of commercial activities on the internet and media. In this paper we will present a twofold scheme for zero-watermarking to be used for copyright protection, implemented in discrete wavelet transform (DWT) as the first fold and discrete cosine transform (DCT) as a second fold for color images in which the visual secret sharing is used to generate unexpanded master and secret shares for the same QR-Code watermark. The experimental results indicate that the proposed scheme is highly robust and the QR-Code can be decodable even after different types of attack being applied.

A robust Optimal Zero-Watermarking Technique for Secret Watermark Sharing

Jumana Waleed,Huang Dong Jun,Saad Hameed 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.5

Optimal Positions Selection for Watermark Inclusion based on a Nature Inspired Algorithm

Jumana Waleed,Huang Dong Jun,Saad Hameed,May Kamil 보안공학연구지원센터(IJSIP) 2015 International Journal of Signal Processing, Image Vol.8 No.1

One of the powerful optimization tools that has been exploited in the computer world are nature inspired algorithms (NIAs), they are also used to solve problems in the computer programming world. For many years new algorithms have been developed regarding computer science and engineering communities such algorithms concentrates on NIAs which has proven their capabilities in many aspect, in some situation rapid solutions are needed to solve some problems these algorithms provides a versatile robust solutions for many of these situations. This paper presents a watermark inclusion based on a recently presented nature inspired algorithm to enhance the digital image watermarking procedure to be used for copyright protection. The nature inspired algorithm in focus is used to perfectly identify optimal positions in the discrete wavelet transform domain (DWT) for watermark inclusion in the gray scale image, The obtained results are shown in the experimental results section clarifying the superiority of using the algorithm in focus for the watermarking technique, In addition, showing how the algorithm optimum positions are obtained with lowest effect to the PSNR value of the produced watermark included images.

A Novel Olfactory Displays' Scent Dispersing Module

Saad Hameed Abid,Zhiyong Li,Renfa Li,Jumana Waleed 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1

Olfactory display devices have become a recent demand and trend in human computer interaction, providing a new member in the human computer interaction peripheral devices family. These devices enrich the olfactory sense for the user stimulating him/her by means of scent stimuli in correspondence to an object or an event shown on the visual display. Some researches have been done to cover the design, usage and delivery for the scent to the users, other works covered some analysis on the scent categorization and grouping. In this paper a focus is on the controlled atomization of a liquid based scent material while guaranteeing: speed, intensity, durability, compactness and scalability, these important factors are crucial to build a commercial grade olfactory displays containing a universal, interchangeable and versatile but yet durable scent disparity component to facilitate the realization of olfactory display devices.

Head Pose Estimation Based On Detecting Facial Features

Hiyam Hatem,Zou Beiji,Raed Majeed,Jumana Waleed,Mohammed Lutf 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.3

Head pose estimation is recently a more popular area of research. Challenging conditions, such as extreme pose, lighting, and occlusion, has historically hampered traditional, model-based methods. This paper presents a proposal of an integrated method for head pose estimation based on face detection and tracking. This method first locates certain facial features and based on their relative locations determine the head pose, the head pose estimated using coordinates of both eyes and a mouth relative to the nose as the origin of the coordinate system. The nose position is set up as the origin. The coordinates of the other parts defined from the origin, the distance between the face parts normalized so that the coordinates are independent of the image size. For facial feature detection from the detected face region, Haar-like feature utilized along with AdaBoost learning, the Adaboost learning algorithm used for creating optimized learning data. From the experiments, the proposed approach shows robustness in face and facial feature detection and eventually produces better results in estimating head pose rather than simply using Haar-like feature for both face and facial feature detection. The computational cost is low because it uses only those three points.

Heat based Odors Delivery Apparatus for Interactive Game Playing

Saad Hameed Abid,Zhiyong Li,Renfa Li,Jumana Waleed 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.5

Scent delivery systems or what are known as olfactory displays has been the most recent trend in human computer interaction, control and automation, virtual reality, augmented reality, e-commerce and many other fields in the computer world. These devices have the ability to generate smell combinations for some digital items in the computer virtual world. The idea is to deliver additional perception (olfactory perception) to the user to enrich his/her indulgence while interacting with the computer. The proposed olfactory display is similar to this concept but greatly differ in many aspects, using laser based atomization method to produce enough sudden heat to generate odors that cannot be generated using chemical materials these odors are smoke, gun powder, wood milling, cigarettes smoking, plastic melting and Incense. All olfactory displays researchers avoid involving these types of odors in their studies due to the difficulty of the generation and control of such odors and the absence of their correct and precise generation using chemical materials. The proposed system will provide a way of generating such odors while interactive game is being played by a user with minimum impact on the environment to avoid adaption to the user's olfactory system and polluting the environment that the user occupies.

Ancient Cuneiform Text Extraction Based on Automatic Wavelet Selection

Raed Majeed,Zou Beiji,Hiyam Hatem,Jumana Waleed 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.6

Ancient Iraq was the home of a major urban civilization which developed during 4000-3000 BCE. The Sumerians, who lived in Mesopotamia in southern Iraq, invented the cuneiform system of writing, which was an essential element of Sumerians culture. The translation of cuneiform is a highly complicated process. It is only in comparatively recent years that the grammar has been scientifically established, while the lexical problems are still numerous and far from resolved. Furthermore, most of the Sumerians tablets lost only few old images left, some of it saved in a special collection or worldwide museums. In this paper, we present a novel method used to obtain the cuneiform text from old Sumerian clay tablets, proposed method based on automatically select wavelet bases which it is essential and critical issues for wavelet algorithm implementation. Our procedure offers the archaeological and Cuneiformest an easy, fast and active method for extracting the cuneiform sentences. Experimental results of sample images show that the proposed system has superior result.

Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection

Hiyam Hatem,Zou Beiji,Raed Majeed,Mohammed Lutf,Jumana Waleed 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2

The detection of faces is one of the most requesting fields of research in image processing and Visual estimation of head pose is desirable for computer vision applications such as face recognition, human computer interaction, and affective computing. In this paper, we propose completed method for face pose estimation, face and face parts detection, feature extraction, tracking. This paper proposes using an improved AdaBoost algorithm, which is much better than normal AdaBoost. We use the de-facto Viola- Jones method for face and face part detection. From the robustness property of Haar-like feature, we first construct the strong classifier more effective to detect rotated face, and then we propose a novel method that can reduce the training time. We adopt affine motion model estimation as a tracking method. The combination enables efficient detection around the search area limited by tracking. Experimental results demonstrated its effectiveness and robustness against different types of detection and pose estimation in the input face images, including faces that appear in a wide range of image positions and scales, and also complex backgrounds, occlusions, illumination variations and multi-pose head images.