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We provide a method to obtain high resolution images of oversized documents by mosaicking their images captured by a rig equipped with multiple consumer-level cameras. We only need to calibrate the system once, and then it gives accurate full-size document mosaicking results repeatedly and robustly afterwards. During calibration, we first determine global image registration information based on homography...
Image-based information hiding technology has been extensively studied in recent years. In order to ensure the security of information transmission, image information hiding technology must have the characteristics of transparency, security and robustness. In this paper, an improved image-based information hiding method is proposed, which utilizes the imperceptibility of the human eye to the change...
In this paper, we extend the use of the Discrete Orthogonal Stockwell Transform (DOST) by introducing a blind reversible and fragile medical image watermarking (MIW) method for image integrity checking. 2D DOST is first applied to the host image, the watermark is inserted in the high frequency coefficients based on the Difference Expansion (DE) technique. The extraction process provides host image...
This paper proposes a new adaptive watermarking algorithm leveraging combined knowledge of spatial and frequency domains to ensure the robustness and security of the embedded watermark and the transparency of the carrier image. The scheme makes use of the perceptual characteristics of human visual system and the local correlation of the image. The wavelet coefficients of the image are divided into...
We investigate the use of frequency domain identification and convex optimization for obtaining robust models of series elastic actuators. This early work focuses on identifying a lower bound on the ℋ∞ uncertainty, based on the non-linear behavior of the plant when identified under different conditions. An antagonistic testing apparatus allows the identification of the full two input, two output system...
Content-based image retrieval is an effective and efficient technique to retrieve images from a big dataset with similar images. To have a robust retrieval system, a proper and accurate classification scheme is required to categorise the information of shape, texture, and colours. In this paper, a deep convolutional neural network is proposed to classify the information of radiology images. Deep networks...
Dictionary learning follows a synthesis framework; the dictionary is learnt such that the data can be synthesized / re-generated from the coefficients. Transform learning on the other hand is based on analysis formulation; it learns a transform so as to generate the coefficients. The basic formulations of dictionary learning and transform learning employ a Euclidean cost function for the data fidelity...
Discriminative least squares regression (DLSR) is a simple yet effective method for multi-class classification. One problem of DLSR is that it is lack of robustness to outliers. In order to tackle this difficulty, in this paper, we propose a novel Robust DLSR (RoDLSR) model. The core idea behind RoDLSR is to find and further ignore the outliers among the support vector set. Specifically, we modify...
We develop a robust method for the accurate reconstruction of non-bandlimited finite rate of innovation signals composed of finite number of Diracs. For the recovery of parameters of K Diracs defining the signal, the proposed method requires more than (K + √K)2 samples of the signal band-limited in harmonic domain such that the spherical harmonic transform can be computed using the samples. In comparison...
Edited film alignment is the post-production process of finding small parts of unedited footage that temporally and spatially match an edited film. The huge amount of data to be processed makes significant downsampling of the videos essential in real-life applications. Simultaneously, professional users demand that the task be achieved with frame and pixel-level accuracy. We propose a novel selective...
This paper presents a research on the practical and advanced processing, which is supported by the geometric analysis for the features extraction in images of finger vein patterns in order to contribute to a system that minimizes the degree of phishing. This article develops a method of hybrid curves, which are supported on the tangent and secant curves, based on the Hough transform. A standardized...
A new spatial domain steganography method for the grayscale image is presented in this paper. The method has used neighboring pixel pair difference value and Least Significant Bit (LSB) substitution, which provides enhanced embedding capacity. This method uses a 3×3 block structure to divide the cover image into some non-overlapping blocks horizontally. k-LSBs of the center pixel of the cover image...
Medical images could be acquired from analytical modalities like Digital Radiography, Nuclear medicine bone scan, Ultrasound Scan Images, Computer Tomography, Magnetic Resonance Imaging, and Patient's Record management system. The progresses in combined use of media and information technology afford us to utilize the new behavior to allocate right to use and accumulate medicinal statistics. This has...
Nowadays image manipulation plays an important role due to the powerful photo editing software such as Picasa, Photoshop so that it looks like as original. Such tampering with the original digital image is called as image forgery. The detection of image forgery in an image is important so it can be used as legal evidence in investigations such as court and other fields. Many Images are used as genuine...
In this modern era, storing and transmitting information is by far done as a digital object. But the greatest disadvantage in digital data transmission is the fact that innumerable copies of the digital file can be made and is susceptible to be misused. This leads to the worldwide problem of copyright protection, copy protection and content authentication. Various Steganographic techniques and algorithms...
The digital image watermarking technology is widely used to protect intellectual property and to authenticate digital contents in the network environment. The aim of the paper is to invoke the improved Laplacian Pyramid transform to develop a new image watermarking scheme. Specifically, the host image is decomposed and reconstructed by using the improved Laplacian Pyramid transform. Then, the mid...
Co-registration of point clouds is critical when a scene is measured several times. We present a novel feature based solution, where features are described by combining local shape context and local intensity (or image) context. The Euclidean distances of such shape and intensity combined context descriptors are used to identify candidate correspondences, which are then used as input to the final...
Copy-move is a simple and effective operation for creating digital image forgeries, where an area of an image is copied and pasted to a different location in that image. Generally, a forger uses some affine transformations to make the changes visually intact. Most existing copy-move detection methods are not effective when copied regions are under geometrical distortions. In this paper, a new copy-move...
In this paper, an approach for industrial machine vision system is introduced for effective maintenance of inventory in order to minimize the production cost in supply chain network. The objective is to propose an efficient technique for object identification, localization, and report generation to monitor the inventory level in real time video stream based on the object appearance model. The appearance...
Hardware implementation of a signal processing method based on Hilbert Transform is achieved in order to ensure robust detection of fringes contained in a Self-Mixing (SM) interferometric signal provided by a laser diode based SM sensor. The signal processing is based on obtaining the analytical signal from output optical power of LD by using Hilbert Transform. Then, this analytical signal provides...
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