DGCNN: deep convolutional generative adversarial network based convolutional neural network for diagnosis of COVID-19
The latest threat to global health is the coronavirus disease 2019 (COVID-19) pandemic. To prevent COVID-19, recognizing and isolating the infected patients is an essential step. The primary diagnosis method is Reverse Transcription Polymerase ...
Securing content-based image retrieval on the cloud using generative models
Content-based image retrieval (CBIR) with deep neural networks (DNNs) on the cloud has tremendous business and technical advantages to handle large-scale image repositories. However, cloud-based CBIR service raises challenges in image data and DNN ...
Comparative analysis of Dysarthric speech recognition: multiple features and robust templates
Research on recognizing the speeches of normal speakers is generally in practice for numerous years. Nevertheless, a complete system for recognizing the speeches of persons with a speech impairment is still under development. In this work, an ...
Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area
An indoor positioning system (IPS) is a network of sensors that may locate persons or objects in situations when GPS and other satellite technologies are insufficient or fail. Because inside sites lack GPS signals, numerous indoor tracking systems ...
Tech-Talk-Sum: fine-tuning extractive summarization and enhancing BERT text contextualization for technological talk videos
Automatic summarization is a task to condense the data to a shorter version while preserving key informational components and the meaning of content. In this paper, we introduce Tech-Talk-Sum, which is the combination of BERT (Bidirectional ...
Lightweight identification of retail products based on improved convolutional neural network
Due to the similar appearances among many retail products, it is a big challenge to identify the product with high accuracy and low computational cost in smart retail scenes. In this paper, we proposed a lightweight retail product identification ...
A secure image compression-encryption algorithm using DCT and hyperchaotic system
Nowadays, thanks to the rapid development of communication network technology, the multimedia data with image and video as the carrier increases exponentially. Therefore, how to transmit data efficiently and securely has become an important ...
A generalized Arnold’s Cat Map transformation for image scrambling
This study presents a new approach to generate the transformation matrix for Arnold’s Cat Map (ACM). Matrices of standard and modified ACM are well known by many users. Since the structure of the possible matrices is known, one can easily select ...
CitrusYOLO: A Algorithm for Citrus Detection under Orchard Environment Based on YOLOv4
Achieving rapid and accurate detection of tree fruits under natural environments is essential for many precision agriculture application (such as harvesting robots and yield estimation). A real-time citrus recognition method was proposed in this ...
Light-weight 3DCNN for DeepFakes, FaceSwap and Face2Face facial forgery detection
Detecting facial forgery in real time application such as video conferencing, netbanking, verification of identity etc. is a major concern. Highly accurate facial forgery detectors will be incompatible with limited computation and storage space ...
R-GRU: Regularized gated recurrent unit for handwritten mathematical expression recognition
Handwritten mathematical expression recognition(HMER) plays a wide variety of roles in different domains like online teaching, scientific research, etc. Due to its two-dimensional non-linear structure, it is a challenging problem. In this work, we ...
Video compression using MPEG 7-MBBMC: techniques for communication
Communication is termed as exchanging the information (audio, video, text and image) from one end (transmitter) to another end (receiver). When video data are compressed and transmitted to another side, compression reduces the bandwidth size and ...
Voice spoofing detection based on acoustic and glottal flow features using conventional machine learning techniques
Automatic Speaker Verification (ASV) systems are vulnerable to spoofing attacks. Most existing spoofing detection systems rely on two main points; the feature extraction and the classification methodology. In this paper, we propose a new strategy ...
A novel method of compressive sensing MRI reconstruction based on sandpiper optimization algorithm (SPO) and mask region based convolution neural network (mask RCNN)
A compressive sensing method is a current structure for signal sampling and reclamation. It allows signal acquisition with fewer sampling than the Nyquist-Shannon theorem needs and decreases Magnetic Resonance Imaging (MRI) data achievement time. ...
Supervised anomaly detection by convolutional sparse representation
Anomalies are known as patterns which are not conforming expected structures; therefore, they must be detected to inhibit future hazards. A common method for defect detection in images is background modeling in which characteristics of normal ...
Video indexing through human face images using LGFA and window technique
Adaptive video monitoring settings have been extensively deployed in recent years. Smart video monitoring technology enables the acquisition and analysis of movies from various devices, as well as automatic analysis based on knowledge gathering. ...
A systematic review of state-of-the-art noise removal techniques in digital images
- Nishant Bindal,
- Rajanbir Singh Ghumaan,
- Prateek Jeet Singh Sohi,
- Nikhil Sharma,
- Hemdutt Joshi,
- Bharat Garg
Digital Image processing is a subcategory of digital signal processing that lays emphasis on the study of processing techniques used for enhancement or restoration. De-noising of images corrupted with various types of noises falls into this ...
Local features enhancement using deep auto-encoder scheme for the recognition of the proposed handwritten Arabic-Maghrebi characters database
Over the years, automated handwritten Arabic character recognition systems have evolved. However, optical Arabic character recognition systems still suffer from low performances in the wild because of high human handwriting variations, styles, ...
Historical manuscript dating: traditional and current trends
There is a huge number of undated digitized and undigitized historical manuscripts from antiquity. The dates of production of these historical manuscripts are of interest to historians, curators, paleographers, scholars and other stakeholders. ...
Query based relevant music genre retrieval using adaptive artificial neural network for multimedia applications
In the case of digital music industry, current major internet stores contain millions of tracks, which complicate search, retrieval and discovery of music relevant for a user. To facilitate the advancement in multimedia applications, an efficient ...
Brain tumor segmentation and classification in MRI using SVM and its variants: a survey
The process of separation of brain tumor from normal brain tissues is Brain tumor segmentation. Segmentation of tumor from the MR images is a very challenging task as brain tumors are of different shapes and sizes. There are multiple phases to ...
An empirical evaluation of two natural hand interaction systems in augmented reality
Human-computer interaction based on hand gesture tracking is not uncommon in Augmented Reality. In fact, the most recent optical Augmented Reality devices include this type of natural interaction. However, due to hardware and system limitations, ...
Adaptive RANSAC and extended region-growing algorithm for object recognition over remote-sensing images
In this paper, a new approach is proposed for object recognition in remote-sensing images. In the proposed approach, the matching process between the object in the template and test images is done based on Scale Invariant Feature Transform (SIFT). ...
Generative image inpainting using edge prediction and appearance flow
At present, most of the existing image inpainting methods can not reconstruct the reasonable structure of the image, especially when the important part of the image are missing. Some methods focus on reconstructing a continuous and reasonable ...
Multi-class object detection system using hybrid convolutional neural network architecture
Object detection in computer vision has been a significant research area for the past decade. Identifying objects with multiple classes from an image has attracted great attention because it can effectively classify and detect the image. A multi-...
Color image encryption algorithm based on 3D Zigzag transformation and view planes
To prevent the information leak of image content, image encryption technology has received increasing attention. The proposed algorithm adopts a diffusion-permutation-diffusion structure. Inspired by the three-view drawing in the engineering field,...
Fusion Based Feature Extraction and Optimal Feature Selection in Remote Sensing Image Retrieval
In remote sensing (RS) community, RSIR (Remote Sensing Image Retrieval) is considered as a tough topic and gained more attention because the data is collected via EO (Earth Observation) satellites. As huge numbers of RS images are available, the ...
Chaos-based image encryption using hybrid model of linear-feedback shift register system and deoxyribonucleic acid
The security of digital images has been under much more attack recently. A novel image security based on a hybrid model of deoxyribonucleic acid (DNA), Linear-Feedback Shift Register (LFSR) and logistic map has been proposed in this study. In the ...
Spatially adaptive multi-scale contextual attention for image inpainting
Image inpainting is the task to fill missing regions of an image. Recently, researchers have achieved a great performance by using convolutional neural networks (CNNs) with the conventional patch-matching method. Existing methods compute the ...
Cloud detection in satellite images with classical and deep neural network approach: A review
This article introduces a review on implementations of various methods to perform cloud detection and its related applications such as detection of cloud shadow, types of cloud and cloud removal from multi-spectral satellite images. The cloud ...