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.
With the extensive use of sophisticated image editing software, it has become easy to manipulate digital images without any visually visible clue. Copy-move is a special type of image forgery performed by copying a part of the image and pasting anywhere else in the same image. We proposed a passive image authentication technique to determine the copy-move forgery. First, the method divides the image...
The tracking and labeling of multiple objects in multiple cameras is a fundamental task in applications such as video surveillance, autonomous driving, and sports analysis. In an ad-hoc multi-camera network without a fusion center nodes can benefit from local cooperation to solve signal processing tasks, such as distributed image enhancement. A crucial first step for the successful cooperation of...
Automatic segmentation in Ziehl-Neelsen Stained Tissue Slide Images is to help identify whether the blood cells that have been exposed to tuberculosis. In an image segmentation in the detection of TB disease are still many obstacles and requires in many time. in this study perform segmentation is useful to help detect the germs of TB disease in the blood cells and segmentation, there are several ways...
In real-world image processing applications, the data is high dimensional but the amount of high-quality data needed to train the model is very limited. In this paper, we demonstrate applicability of a recently presented method for dictionary learning from incomplete data, the so-called Iterative Thresholding and K residual Means for Masked data, to deal with high-dimensional data in an efficient...
In this paper, we proposed a seam carving based refinement method to refine and produce superpixels. The proposed method can refine existing superpixels by repeating the splitting process. There are two major steps. The first is choosing a superpixel candidate by analyzing color variances; the second is splitting a superpixel into 4 by dynamic programming. The experimental results show that the proposed...
A reversible watermarking algorithm in low distortion is proposed for color images in this paper. Through analyzing the correlation of different color components in color image, and expanding prediction pixels by adaptive prediction operator, the embedding of watermark data and the retrieving of the original image are realized. Experiments show that, this algorithm achieves better effect compared...
In this work, a new image watermarking algorithm on colour images is proposed. The proposed algorithm divides a cover image into three colour bands of red, green and blue. Then the following tasks are done on all three channels separately. First, Each colour band is divided into patches of small sizes then the entropy of each patch is calculated. At this step a threshold is found based on the average...
This paper focuses on comparing orientation binning to perform Histograms of Oriented Gradients algorithm for the feature extraction process. The HOG algorithm comprises of gradient computation, orientation binning and block normalization aimed towards object detection. Three angles of binning are considered for (3bins, 6bins, and 9bins) with angles.64×128 image sample is taken from INRIA Person Data...
Kidney disease is one of the life threatening diseases prevailing among the humans. Most of the people die because of kidney diseases. It occurs due to the change which is occurring in the production of DNA cells (cancer), protein deficiency (nephritis) etc., In this paper, an automatic detection of the kidney diseases from CT abdominal images is proposed. First, the CT abdominal images are acquired...
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...
In this paper we proposed an improved color based K-mean algorithm for clustering of satellite Image (SAR). Image clustering is the versatile method that can help in the provocative task of efficient search in very fast-growing image data bases. It plays an important role in image analysis, pattern recognition, image segmentation etc. Our method comprises of two stages. The first step is the calculation...
A novel algorithm for the colour image encryption is proposed in this paper. Proposed algorithm is based on image scrambling and Linear canonical Transform. The image scrambling accomplished using the chaotic function with iterations along the length of the image to be scrambled. The Linear canonical transform (LCT) is used to encrypt all the three components of colour image i.e. Red, Green and Blue...
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...
This paper presents a low-cost and portable microscope camera with high definition multimedia interface (HDMI) based on Hi3518E chip. Aiming at the high demand of the microscope camera for the color restoration, a fast white balance method based on R, G, B statistical information and color correction matrix is proposed in this paper. Result of experiment shows that the proposed algorithm gets good...
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...
The latest advancement in imaging applications has increased the need for more High Definition Range (HDR) imaging, which is not easily attainable by common imaging sensors. However, the use of multiple exposure images, that cover multiple exposure settings for the captured scene, and their combination in a single image via image fusion has been proposed in the literature and seems a viable solution...
In this research, presented an enhanced image security using improved RSA cryptography and Spatial Orientation Tree Wavelet compression (STW) method for color or grayscale image. Steganography is the science of hiding secret messages so that you can be sent to target without mistrust. It is the most famous type of carrier to grip data. Firstly, input the secret message, then encrypt the message using...
Corner detection algorithm is an algorithm which helps in identifying the corners in an image. Corners are mainly formed by the combination of two or more edges. These corners may or may not define the boundary of an image. Here the method used is Harris corner detection algorithm. It helps in pointing out the corners in a color image, for each component. This improves the detection efficiency and...
This paper mainly focused on image hiding process by LSB substitution method and applying scanning methodology as a key on stego-image. As the use digital techniques for transmitting and storing images are increasing, It becomes an important issue that how to protect the confidentiality, integrity and authenticity of images. There are various techniques which are discovered from time to time to encrypt...
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.