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Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Open
We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIS…
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Secure Medical Data Transmission Model for IoT-Based Healthcare Systems Open
Due to the significant advancement of the Internet of Things (IoT) in the healthcare sector, the security, and the integrity of the medical data became big challenges for healthcare services applications. This paper proposes a hybrid secur…
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Grayscale digital light processing 3D printing for highly functionally graded materials Open
We present a single-vat grayscale digital light processing 3D printing method for highly functionally graded materials.
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The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception Open
Event based cameras are a new passive sensing modality with a number of\nbenefits over traditional cameras, including extremely low latency,\nasynchronous data acquisition, high dynamic range and very low power\nconsumption. There has been…
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EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras Open
Event-based cameras have shown great promise in a variety of situations where\nframe based cameras suffer, such as high speed motions and high dynamic range\nscenes. However, developing algorithms for event measurements requires a new\ncla…
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Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising Open
Most of the existing denoising algorithms are developed for grayscale images. It is not trivial to extend them for color image denoising since the noise statistics in R, G, and B channels can be very different for real noisy images. In thi…
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A 30-frames/s, $252\times144$ SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming Open
A 252 x 144 single-photon avalanche diode (SPAD) pixel sensor, called Ocelot, is reported for light detection and ranging (LiDAR). The sensor, fabricated in the 180-nm CMOS technology, features 1728 12-bit time-to-digital converters (TDCs)…
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An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis Open
An edge detection is important for its reliability and security which delivers a better understanding of object recognition in the applications of computer vision, such as pedestrian detection, face detection, and video surveillance. This …
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Detecting Malware with an Ensemble Method Based on Deep Neural Network Open
Malware detection plays a crucial role in computer security. Recent researches mainly use machine learning based methods heavily relying on domain knowledge for manually extracting malicious features. In this paper, we propose MalNet, a no…
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Secure and Robust Digital Image Watermarking Using Coefficient Differencing and Chaotic Encryption Open
This paper presents a chaotic encryption-based blind digital image watermarking technique applicable to both grayscale and color images. Discrete cosine transform (DCT) is used before embedding the watermark in the host image. The host ima…
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A Residual Dense U-Net Neural Network for Image Denoising Open
In recent years, convolutional neural networks have achieved considerable success in different computer vision tasks, including image denoising. In this work, we present a residual dense neural network (RDUNet) for image denoising based on…
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Comparing different deep learning architectures for classification of chest radiographs Open
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neura…
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MobileNet Convolutional Neural Networks and Support Vector Machines for Palmprint Recognition Open
Due to the ease of handling with low resolution images, low cost hardware and high recognition accuracy, palmprint recognition has been attracting in the recent years. Many different features extracted of the palmprint image have been empl…
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Deep Image Homography Estimation Open
We present a deep convolutional neural network for estimating the relative homography between a pair of images. Our feed-forward network has 10 layers, takes two stacked grayscale images as input, and produces an 8 degree of freedom homogr…
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Highlight Removal from A Single Grayscale Image Using Attentive GAN Open
The existence of specular highlights hinders high-level computer algorithms. In this paper, we propose a novel approach to remove specular highlights from a single grayscale image by regarding the problem as an image-to-image translation t…
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Specific Emitter Identification Based on Deep Residual Networks Open
Specific emitter identification (SEI) enables the discrimination of individual radio emitters with the external features carried by the received waveforms. This identification technique has been widely adopted in military and civil applica…
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Image Analysis and Computer Vision Applications in Animal Sciences: An Overview Open
Computer Vision, Digital Image Processing, and Digital Image Analysis can be viewed as an amalgam of terms that very often are used to describe similar processes. Most of this confusion arises because these are interconnected fields that e…
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Metasurface-based nanoprinting: principle, design and advances Open
Metasurface-based nanoprinting (meta-nanoprinting) has fully demonstrated its advantages in ultrahigh-density grayscale/color image recording and display. A typical meta-nanoprinting device usually has image resolutions reaching 80 k dots …
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Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features Open
As the number of internet users increases so does the number of malicious attacks using malware. The detection of malicious code is becoming critical, and the existing approaches need to be improved. Here, we propose a feature fusion metho…
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Single-vat single-cure grayscale digital light processing 3D printing of materials with large property difference and high stretchability Open
Multimaterial additive manufacturing has important applications in various emerging fields. However, it is very challenging due to material and printing technology limitations. Here, we present a resin design strategy that can be used for …
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Crack Detection in Concrete Structures Using Deep Learning Open
Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically to maintain its reliability and structural health. Visual signs of cracks and depressions indicate stress and wear and tear over time, leading to…
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Relationship between Hounsfield unit in CT scan and gray scale in CBCT Open
Cone-beam computed tomography (CBCT) is an imaging system which has advantages over computed tomography (CT). Recently, CBCT has become widely used for oral and maxillofacial imaging. In CT scan, Hounsfield Unit (HU) is proportional to the…
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Fault Diagnosis System for Induction Motors by CNN Using Empirical Wavelet Transform Open
Detecting the faults related to the operating condition of induction motors is a very important task for avoiding system failure. In this paper, a novel methodology is demonstrated to detect the working condition of a three-phase induction…
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Implementation of RGB and Grayscale Images in Plant Leaves Disease Detection – Comparative Study Open
Background/Objectives: Digital image processing is used various fields for analyzing different applications such as medical sciences, biological sciences. Various image types have been used to detect plant diseases. This work is analyzed a…
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Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks Open
Vehicles on the road are rising in extensive numbers, particularly in proportion to the industrial revolution and growing economy. The significant use of vehicles has increased the probability of traffic rules violation, causing unexpected…
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Quaternion Convolutional Neural Networks for Heterogeneous Image\n Processing Open
Convolutional neural networks (CNN) have recently achieved state-of-the-art\nresults in various applications. In the case of image recognition, an ideal\nmodel has to learn independently of the training data, both local dependencies\nbetwe…
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Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs Open
Convolutional Neural Networks (CNN)-based approaches have shown promising\nresults in pansharpening of satellite images in recent years. However, they\nstill exhibit limitations in producing high-quality pansharpening outputs. To\nthat end…
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CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval Open
Given a natural language description, text-based person retrieval aims to\nidentify images of a target person from a large-scale person image database.\nExisting methods generally face a \\textbf{color over-reliance problem}, which\nmeans …
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A High-Performance System for Robust Stain Normalization of Whole-Slide Images in Histopathology Open
Stain normalization is an important processing task for computer-aided diagnosis (CAD) systems in modern digital pathology. This task reduces the color and intensity variations present in stained images from different laboratories. Consequ…
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Fifty shades of food: The influence of package color saturation on health and taste in consumer judgments Open
When evaluating food products, consumers rely on visual cues on packages to infer their healthiness and tastiness. We assumed that color, specifically color saturation, is one such cue, similarly relevant for both healthiness and tastiness…