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ROI and Non-ROI Image Compression Using Optimal Zero Tree Wavelet and Enhanced Convolutional Neural Network for MRI Images
Medical imaging systems generate enormous amounts of information that place a heavy burden on storage and transmission. As a result, image data...
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Smartphone-based gait recognition using convolutional neural networks and dual-tree complex wavelet transform
Gait recognition is an efficient way of identifying people from their walking behavior, using inertial sensors integrated into the smartphones. These...
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Integration of nondecimated quaternion wavelet transform and neighborhood texture patterns for disease classification in banana (Musa spp.) foliage
Fungal diseases of banana is a global threat to banana production and cultivation. Diagnosis of these diseases using an identification system limited...
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An approach for brain tumour detection based on dual-tree complex Gabor wavelet transform and neural network using Hadoop big data analysis
Segmentation and classification of the abnormalities on the brain are necessary to save one’s life; hence the data acquired by magnetic resonance...
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A brain magnetic resonance image compression technique using wavelet-based SPIHT algorithm and capsule autoencoder
Medical imaging plays a starring role in diagnosis and treatment. It provides clinically meaningful information and thus reduces uncertainty in...
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Fundamentals of Gabor Wavelet Filter Banks
Gabor wavelets are a family of complex-valued functions that are frequently used in image analysis and signal processing because of their high...
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Low complexity block tree coding for hyperspectral image sensors
Complexity of any onboard hyperspectral image sensor is a challenging issue. The existing hyperspectral image compression algorithm plays a great...
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A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
A drastic rise in the incidence of breast cancer in patients is witnessed as per the new roadmap launched by the World Health Organization in 2023....
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Gabor Wavelet Based Fused Texture Features for Identification of Mungbean Leaf Diseases
Early diagnosis of crop plant disease is crucial since many of these diseases pose a considerable threat not only to global food security but also...
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An accurate recognition of facial expression by extended wavelet deep convolutional neural network
Facial expressions are essential in community based interactions and in the analysis of emotions behaviour. The automatic identification of face is a...
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Wavelet-Hadamard based blind image watermarking using genetic algorithm and decision tree
Recently the active use of Internet and multimedia technologies has increased the violation of copyright. Digital watermarking has a crucial role in...
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A novel approach towards high-performance image compression using multilevel wavelet transformation for heterogeneous datasets
Multimedia information typically requires large storage capacity and transmission rate. Thus, multimedia data, which exist in various forms, such as...
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Image denoising in undecimated dual-tree complex wavelet domain using multivariate t-distribution
Denoising of natural images is a basic problem in image processing. The present paper proposes a new algorithm for image denoising based on the...
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Wavelet-Based Saliency and Ensemble Classifier for Pedestrian Detection in Infrared Images
Night vision systems designed for intelligent transportation system ensuring pedestrian safety are the need of the hour. The pedestrian detection...
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Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Capturing time and frequency relationships of time series signals offers an inherent barrier for automatic human activity recognition (HAR) from...
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Patchwise dictionary learning for video forest fire smoke detection in wavelet domain
Fire smoke detection in forest faces much more challenges than in local areas or indoors. Conventional fire smoke methods using static features...
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3D-listless block cube set-partitioning coding for resource constraint hyperspectral image sensors
The hyperspectral image provides rich spectral information content, which facilitates multiple applications. With the rapid advancement of the...
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Multi-resolution approach to human activity recognition in video sequence based on combination of complex wavelet transform, Local Binary Pattern and Zernike moment
Human activity recognition is a challenging problem of computer vision and it has different emerging applications. The task of recognizing human...
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Tele-Holography: a new concept for lossless compression and transmission of inline digital holograms
In this paper, we introduce Tele-Holography , a new compression/transmission process dedicated to digital holograms. Tele-Holography enables a...
