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The obstacles for images that are taken under the water are haze, low contrast, loss of color, etc. The quality of images that are taken under the water is not clear due to the impurities present in the water and some properties of water. This paper proposes methods to improve the quality of the underwater images. The proposed work in the paper consist of two methods they are Interpolation based Enhancement...
Contrast and color of the captured images are degraded under bad weather conditions mostly in fog due to attenuation and airlight of the scene radiance coming towards the observer. To minimize road accidents through vision enhancement in turbid weather, an efficient visibility enhancement using fog removal technique plays a very significant role as fog greatly reduces the contrast and hence affects...
The paper presents a new method to detect the forgery in Copy-Move images using feature comparison to find the similar parts and sharpness estimation to collect the suspicious edges. Besides, one-level DWT decomposition, with the role of multiresolution, is used to limit the computational complexity and morphological operation is applied for presenting counterfeit objects. Both feature comparison...
In this paper, a new edge detection algorithm for medical images based on quantum computation concept is presented. The proposed method is performed through two stages: the first one enhances the image according to the quantum states' superposition property, which determine the adequate quantum pixels' values. The second one extracts edges based on Shannon entropy. The algorithm is tested on synthetic...
Chromatic aberration, caused by photographic lens imperfections, results in the image of only one spectral channel being sharp, while the other channels are blurred depending on their wavelengths difference with the sharp channel. We study chromatic aberration for a system that jointly records color and near-infrared (NIR) images on a single sensor. Chromatic aberration in such a system leads to a...
Low-cost RGB-D camera, such as Kinect have widely used in image processing. Although Kinect can provide depth and color information simultaneously, but the depth information is very noisy. In this paper, we proposed a novel motion detection scheme based on edge-and-depth to enhance the object motion detection in RGB-D camera. Our proposed algorithm can fast detect motion regions without background...
A new approach to image interpolation using spatial relationships between adjacent pixels is introduced. In its first stage, the localized statistical relationships are studied based on the sparse version of the image. In the second stage, the governing rules of the image are used to build an interpolated version. The proposed interpolation method is suitable for color single-CCD images for demosaicing...
The Hue, Chroma, Intensity (HCI) space is well suited to colour images segmentation processing. In this paper, we used fuzzy logic for integrating specific knowledge of the Hue component. Based upon several linguistic rules which built a symbolic cooperation between Hue and Intensity according to Chroma, a region growing segmentation with fuzzy aggregation is proposed. This fuzzy segmentation is compared...
Image colorization is the process of spreading the user specified colors to all the expected regions in image. It is a great challenge to distinguish between texture edge and object boundary. To improve the performance of colorization, we incorporate depth and texture to accurately extract boundary information in an implicit way. Inspired by the low complexity and high efficiency properties of recently...
Digital image processing is a very useful tool because it allows to highlight and extract image attributes that are undetectable by the naked eye. In this work, an algorithm that is able to identify the corners of a rectangular-shaped figure was developed. The figure have to contrast over a darker background than the figure itself. From this information, the processing system obtains the corresponding...
Shot and scene boundary detection is a primary and an important step towards all the video condensation techniques. In this paper a simple but automatic and efficient scene and shot boundary detection is proposed based on energy minimization approach. A shot differs in its background from another. The background has a temporal continuity throughout the shot, we have invoked this fact in our algorithm...
The 7th IARC (international aerial robot competition) focus on a long-term and real-time tracking of ground moving target for UAV (unmanned aerial vehicle). This paper proposes a tracking method using Camshift algorithm with color and edge features fusion, which will apply a Phash target detection algorithm basing on perceptual hash algorithm. Supposing targets are severely obscured or disappear from...
Moving object tracking in a sequence of an image is one of the favorable issues in machine vision. Recently, particle filter have based developed as a powerful method in this field. Particle filter is a following method which estimates a target route in video image sequences by probability approaches. In many cases, the follower encounters with problems such as: local lighting variations or abrupt...
Image segmentation is a very important process in digital image/video processing and computer vision applications. It is often used to partition an image into separated parts for further processes. For some applications (i.e., concept-based image retrieval), a successful segmentation algorithm is necessary to identity the objects effectively. In addition, how to tag the objects after the segmentation...
Because of the fast developing technologies in multimedia devices, we are able to receive huge amounts of images from daily life. Once these images have been stored, the next step is to figure out how to retrieve the desired pictures quickly and accurately from the database. In this paper, we intend to develop an efficient image retrieval algorithm. Using this algorithm, we can retrieve desired images...
Recently, sub-pixel rendered filter is often used as a post processing of graphic contents to reduce the jagging artifacts in displays. However, in a printing system, sub-pixel filtered image yields blurring and jagging artifacts due to the difference of displaying method. In order to prevent artifacts, new edge enhancement method is proposed. Edge region of an image is processed by an adaptive intensity...
This paper presents a color interpolation processor for color-filter-array (CFA) based image sensor. We propose a modified color difference spaces interpolation method by using direction determination. Simulations show that the proposed method can achieve better quality-complexity tradeoff than other algorithms. For real-time VLSI implementation, a cost-effective architecture consisting of pipeline...
Taking full advantage of the multispectral properties of multispectral image, we should get the exceptional accurate edge. Clifford algebra is suit for dealing the multidimensional data, and can give expression to the association of the data better than the general algebra. It is a very rewarding method that to via Clifford algebra to get the edge of the multispectral image. In the paper, we discuss...
Removing shadows in color images is an important research problem in computer vision. In this paper, we propose a novel shadow removal approach, which effectively removes shadows from textured surfaces, yielding high quality shadow-free images. Our approach aims at calculating scale factors to cancel the effect of shadows. Based on the regional gray edge hypothesis, which assumes the average of the...
This paper presents an edge detection method brought to videogrammetric systems for micro-platform. As the motion precision of platform has a direct impact on the process of precision, so the edge detection in the visual measurement process is also particularly important. The algorithm has a good ability of anti-interference, and the image which been detected is smooth, neat and it always be with...
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