Research ArticleOpen accessIn the abstractSystematic Evaluation of Image-Based NPR Applied to VideoAlberto F.F. de Barros, Jose E.R. de Queiroz, Herman M. GomesIn this article, it was studied the effect of state-of-the-art approaches for Non-Photorealistic Rendering (NPR), originally developed for static images, when applied to videos. Six criteria were objectively evaluated (using a 5-point Likert scales): Simplicity, content preservation, resemblance to the original content, sharpness, temporal coherence and subjective satisfaction. Sixty participants and a dataset of 30 videos of different genres were … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Cryptography with Least Squares ApproximationsMustafa K. Ramadhan, Adil AL-RammahiSecurity of digital images has become one of the most important issues in network technologies. Different techniques have been evolved over the past few years to provide security for digital images through concealing information, image scrambling and image encryption. The aim of this work is to enhance the network security level by using the cryptographic method based on the Least … …Journal of Computer Science, Vol. 15, Issue 11 · 20 Nov 2019 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractHistogram Matching Schemes for Image ThresholdingSalah AmeerThis paper proposes several novel schemes for image thresholding. The idea is simply to compare the original image histogram to that of the thresholded image. Element by element comparison (sum of absolute difference between the two histograms) is found to be of better performance than a single feature (area or size) comparison. The optimum threshold is the one producing the … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 9 Sep 2019 · 7,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,221 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Threshold Based Compressive Sensing Algorithm in Wireless Sensor NetworkParnasree Chakraborty, C. ThariniWireless Sensor Networks (WSN) are comprised of spatially distributed sensor nodes, where each node contains sensors, processors and transceivers for communicating data. Regardless of the application in which the sensor network is serving, the data generated in the network eventually must be delivered to the sink. However the limited network bandwidth, frequent node/link failure along with the unreliable communication medium … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 3 Feb 2017 · 7,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing the Robustness of Visual Degradation Based HAM Reversible Data HidingHabiba Sultana, A.H.M. Kamal, Mohammad Mahfuzul IslamPurposely visual degradation of image quality is a newfangled idea in the area of Histogram Association Mapped (HAM) reversible data hiding. Such scheme first divides the color scale, i.e., 0-255, into some partitions by the range, difference of minimum and maximum value of a block. Next, the histogram of a block resided to a partition, original partition, is moved, e.g., … …Journal of Computer Science, Vol. 12, Issue 2 · 26 Mar 2016 · 6,985 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital High-Pass Filters with Milder High-Pass Effect on Digital ImagesIssa A. Al-ShakhrahImage filtering consists of modifying the original image by logically "reimaging" it with a mathematical imaging device in which spatial response can be controlled by the user. Image filtering is performed by a mathematical operation called convolution, which is simply the successive replacement of each point in the original image by a new value produced by a weighted combination of … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 11 Jun 2015 · 7,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractK-MEANS BASED IMAGE DENOISING USING BILATERAL FILTERING AND TOTAL VARIATIONDanu Wiroteurairuang, Sanun Srisuk, Chom Kimpan, Thanwa SripramongBilateral filter and Total variation image denoising are widely used in image denoising. In low noisy level, bilateral filtering is better than TV denoising for it reveals better SNR and sharper edges. However, in high noisy level, TV denoising outperforms bilateral filtering in terms of SNR and more details of non edges. It is very difficult to perform denoising of … …Journal of Computer Science, Vol. 10, Issue 12 · 30 Dec 2014 · 8,171 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NEW APPROACH OF LOCAL FEATURE DESCRIPTORS USING MOMENT INVARIANTSLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooMoment invariants have been widely introduced in recognizing planar objects for a few decades. This is due the robustness of moment function in distinguishing the original identity of object under various two Dimensional (2D) transformations. A set of moments computed from a planar images, represents the global description of an object's shape and geometrical features of an image. Since global … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 7,954 accessesView PDFCite
Research ArticleOpen accessIn the abstractRADIUS BASED BLOCK LOCAL BINARY PATTERN ON T-ZONE FACE AREA FOR FACE RECOGNITIONMd. Jan Nordin, Abdul Aziz K. Abdul Hamid, Sumazly Ulaiman, R. U. GobithaasanThis study presents a comparison of recognition performance between feature extraction on the T-Zone face area and Radius based block on the critical point. A T-Zone face image is first divided into small regions where Local Binary Pattern (LBP) histograms are extracted and then concatenated into a single feature vector. This feature vector will further reduce the dimensionality scope by … …Journal of Computer Science, Vol. 10, Issue 12 · 27 Dec 2014 · 7,967 accessesView PDFCite