The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Multilevel thresholding is a popular method for image segmentation applications. Traditional methods comprehensively search the optimal thresholds to make optimal the predefined objective function. If the number of thresholds increases, the computational time of these methods grows exponentially. One of the most popular algorithms is Otsu method and operates based on maximization of between classes...
This paper presents some propositions to reduce consuming memory and increase operational frequency of hardware implementation of JPEG-LS algorithm for real time applications. By enhancement in the algorithm and using fast divider, memory has been reduced by 24%. Also, considering the proposed non-stalling pipeline architecture by using forwarding technique to avoid hazards, circuit frequency has...
The fixed pattern noise (FPN) is an important parameter in imaging devices such as CCD or CMOS sensors that becomes more important when we consider about precision. There is no simple technique to remove FPN without any inconvenience. An algorithm is proposed which can reduce both, gain and offset FPN noise. At first the gain FPN of all pixels will be unified. Then, the same procedure applies to the...
The steganographic method named Tri-way Pixel Value Differencing (TPVD) which is a modified version of original Pixel Value Differencing (PVD) steganography, has significantly improved the embedding capacity of original method by embedding secret bits in all horizontal, vertical and diagonal edges of cover images. However, we have shown in this paper that TPVD is drastically vulnerable to statistical...
1D optimization methods based on dynamic programming (DP) stereo are of practical interest because it can reconstruct an observed 3D optical surface very quickly and thus has potential for real-time applications. While being efficient, its performance is far from the state of the art because the vertical consistency between the scanlines is not enforced. 1D optimization based on dynamic programming...
This paper presents a new scheme for detecting humans' falls in highly dynamic house environments. The scheme distinguishes falls from other humans' activities, like sitting, walking, lying, under (a) sudden and abrupt illumination changes (b) non-periodic/significant motions in the background (chairs, curtains, tables), (c) humans' movements towards all possible directions across camera. In particular,...
In this paper, we propose a data embedding method into still images based on Vector Quantization (VQ). In recent years, several VQ-based data embedding methods have been proposed. For example, `Mean Gray-Level Embedding method (MGLE)' are `Pair wise Nearest-Neighbor Embedding method (PNNE)' are simple, but not sufficiently effective. Meanwhile, an efficient adaptive data hiding method called `Adaptive...
The security of digital images attracts much attention recently. For images the transformation can be implemented at two levels, the first one consists of the pixel value permutation and the second one consists of position permutation. In this paper, we propose an encryption scheme for digital images with new pixel position permutation method based on Evolvable Hardware (EHW). In this work, we use...
Inspired by the simplicity of how nature solves its problems, an approach that would enable robotic agents form a visual representation of an invisible hazardous substance is presented. Such an approach would be very useful if emergency services need to systematically and strategically evacuate an area affected by invisible substance especially in a situation where evacuation resources are limited...
Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing...
In this paper, we propose a new data hiding method. We divide cover-image into many non-overlapping blocks. Each block consists of two contiguous pixels. We separate the secret data into two parts. These two parts of secret data are hidden into two pixels of the block. The hiding capacity is depended on the difference value of the two points. If the difference value is higher, we embed more bits of...
Nowadays there exists a large variety of aspect ratios used for both image rendering (e.g. print media, TV, cinema screens etc.) and image acquisition devices (e.g. still and video cameras, scanners etc.). In order to maintain the image's original aspect ratio when adjusting for a different media, some level of cropping may be required, but the automatic zoom and crop method may not produce satisfactory...
This paper presents a design for the parallel processing of synthetic aperture radar data using one or more Field Programmable Gate Arrays (FPGAs). Our design supports real-time computation of a two-dimensional image from a matrix of echo pulses and their corresponding response values. Components of this design include: (a) central processing pipeline to perform back projection calculations, (b) pre-fetch...
Fast mode decision for intra mode prediction in H.264/AVC trades off between rate distortion performance and encoding complexity. Edge direction method has been certified available by reducing unlikely orientation features which are represented by eight values derived from pixel-value processing. In this paper, we proposed a new method to simplify this procedure by exploiting the correlation between...
In this paper, we present a simple but efficient iterative method for increasing scene visibility and recovering haze-free scene contrast from a single hazy image. Using the dark channel prior with the haze imaging model, we directly estimate the coarse transmission map at first, then an iterative refinement module based on bilateral filter is applied to refine the transmission map. The main advantage...
The old documents in Jawi script are being used widely for references. The hard copies of those scripts will deteriorate as time passes. Most of the previous works on Jawi documents focused on the character recognition and the accuracy of the algorithm was very much affected by noise. An effective preprocessing method is required to binarize degraded Jawi document. In this paper, a new technique to...
Change detection in images of a given scene acquired at different times is one of the most interesting topics of image processing. A new change detection method based on 2-D fuzzy entropies is proposed in this paper to detect change area of the difference image. First, the best segmentation direction of 2-D histogram formed by pixel gray levels and the local average gray levels is found by using Fisher...
One major obstacle for the application of multiview sequences, including 3DTV, is the extremely large amount of data associated with a multiview sequence. To enable the storage or transmission of a multiview sequence at a reasonable cost, in this paper, we present a disparity estimation method based on affine model to overcome this problem. By modeling the disparity function on each patch of the multiview...
This paper presents a new approach for estimating the pose, or position and orientation, of a target object relative to a camera. The approach assumes that the object geometry is known and that identifiable feature points on the object are tracked. Using the epipolar constraint, the problems of estimating orientation and position are decoupled. The orientation estimation problem is formulated and...
An image matching algorithm is presented in order to get an accurate matching for dense image points. The main idea is using multiple constrains including affine transformation, epipolar geometry, gray-scale correlation and RGB correlation to do step by step approximation for the matching points. Affine transformation constrain is used for getting the regional similarity of the image points, and then...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.