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Facial expression is a strong medium to express one's feelings and emotions. Accurate detection of facial expression can convey a lot of information about a person's mood. The major barriers to accurate recognition are the presence of noise, illumination variation and occlusion. This paper proposes an effective appearance-based facial feature descriptor constructed with a new local texture pattern,...
Image deprivation usually occurs when certain image losses the stored information due to conversion or digitalization that decreases the quality of the image. Variation in brightness of color information in images is usually called as noise. Image usually subjects to noise of many types. The principle of Fourier transformation is used so as to decompose the image into sine and cosine components for...
Multi-oriented dehazing in video frames is not as easy as degraded of captions or graphics or air light, which usually appears in any location or any images and has high contrast, compared to its background. Images frames are frequently despoiled by full of atmosphere haze, a phenomenon due to the particles in the air that disperse light. Haze induces a loss of contrast, its visual effect is blurring...
In the paper a novel approach to the problem of eye blink detection in video sequences is proposed. The introduced method is utilizing the technique of Local Binary Patterns (LBP), which enables to build a descriptor capturing the features of the current eye state. In the initial step, the histogram of LBP describing the open eye is constructed and afterwards it serves as a template, which is compared...
Restoration techniques of degraded image is still a challenging task, in spite of the sophistication of the recently proposed methods. All show an outstanding performance when the image model corresponds to the algorithm assumptions but fail to retain the edges and fine structure. In this paper, a novel approach for image restoration has been developed. To show the analysis of performance of this...
Local enhancement methods are mostly needed for enhancing the contrast of relatively small objects in the image, or image with poor illumination. In this paper, we investigate the performance of one well-known local enhancement method, which is Block Overlapped Histogram Equalization (BOHE). In order to execute BOHE, one parameter, which is its window size, must be set. Therefore, in this paper, we...
A video summary is a sequence of still pictures that represent the content of a video in such a way that the respective target group is rapidly provided with concise information about the content, while the essential message of the original video is preserved. In this paper, we present VGRAPH, a simple yet effective video summarization approach that utilizes both color and texture features. This approach...
Local Binary Patterns (LBP) and its variants are widely used for texture classification. In this paper we propose a new variant of LBP descriptor called the extended Gaussian filtered Local Binary Patterns (GF-LBP) which is robust to illumination changes, noise and captures more informative edge-like features for classification. Experiments on a colonoscopy image dataset with 2100 images for binary...
In this paper, we describe a novel and effective single image enhancement algorithm for haze image. As we observe that, the contrast and intensity of haze image after using dark channel prior approach will unavoidably tend to be lower than those of the real scene, we proposed a method using histogram specification to make an improvement on image after dark channel prior approach. We make a large number...
Automatic image registration is still a major challenge in many of the image processing applications, to name a few-remote sensing, medical imaging, industrial image analysis etc. In general, the problem of image registration can be identified as the determination of translations and a small rotation between the respective source images and generation of the resulting registered images. The most critical...
This paper introduces a copy-move image forgery detection method based on local binary patterns (LBP) and neighborhood clustering. In the proposed method, an image is first decomposed into three color components. LBP histograms are then calculated from overlapping blocks from each component. The histogram distance between the blocks is calculated and the block-pairs having the minimal distance are...
Nocturnal insects have the ability to neurally sum visual signals in space and time to be able to see under very low light conditions. This ability shown by nocturnal insects has inspired many researchers to develop a night vision algorithm, that is capable of significantly improving the quality and reliability of digital images captured under very low light conditions. This algorithm however when...
Calibration of low light level photon detector with an internal charge multiplication like vacuum photomultiplier tube (PMT) and silicon photomultiplier (SiPM) assumes precise determination of the photomultiplier gain, excess noise factor (ENF), and photon detection efficiency (PDE). The direct measurements of these key parameters require clear distinction of the output signals at the level of a single...
Birds have been widely used as biological indicators for ecological research. They respond quickly to environmental changes and can be used to infer about other organisms (e.g., insects they feed on). Traditional methods for collecting data about birds involves costly human effort. A promising alternative is acoustic monitoring. There are many advantages to recording audio of birds compared to human...
Local Binary Pattern (LBP) and its variants are effective and popular descriptors for texture classification. Most LBP like descriptors have disadvantages including sensitiveness to noise and inability to capture long distance texture information. In this paper we propose a simple, efficient, yet robust multi-resolution descriptor to texture classification — Binary Rotation Invariant and Noise Tolerant...
Document images usually suffer from some unwanted transformations like skew and warping. When dealing with large books, another problem is also introduced; when we capture a page of a large book using digital camera or scanner, some extra margins appears. The resulting document is often framed by a dark border and noisy text regions from neighboring page. In this paper, we introduce a novel technique...
Local Binary Pattern (LBP) has been well recognised and widely used in various texture analysis applications of computer vision and image processing. It integrates properties of texture structural and statistical texture analysis. LBP is invariant to monotonic gray-scale variations and has also extensions to rotation invariant texture analysis. In recent years, various improvements have been achieved...
An illumination-invariant background model for detecting objects in dynamic scenes is proposed. It is robust in the cases of sudden illumination fluctuation as well as burst moving background. Unlike previous works, it distinguishes objects from a dynamic background using co-occurrence character between a target pixel and its supporting pixels in the form of multiple pixel pairs. Experiments used...
The THz image has lower contrast and bigger noise because the THz radiant power is small, so a multi-scales nonlinear enhancement method of THz image is proposed for the purpose of improving the image definition. The THz image is decomposed into multi-scales detail coefficients and approximation coefficients by utilizing the wavelet transform. The detail coefficients are taken to denoise and histogram...
A new algorithm for feature and contrast enhancement of mammographic images is proposed in this paper. The approach is based on multiscale transform and mathematical morphology. First of all, the Laplacian Gaussian pyramid transform is applied to decompose the mammography into different multiscale subband sub-images. In addition, the detail or high frequency sub-images are equalized by the contrast...
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