Since the existing endoscopic image enhancement algorithms cannot take into account the problems of detail enhancement, brightness preservation and color preservation, this paper proposes an endoscopic image enhanceme...
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To efficiently remove haze in unmanned aerial vehicle (UAV) remote sensing images, a novel attention-based feedback dehazing network (AFDN) is proposed, which is constructed by feedback connections and attention-based...
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ISBN:
(纸本)9781665441155
To efficiently remove haze in unmanned aerial vehicle (UAV) remote sensing images, a novel attention-based feedback dehazing network (AFDN) is proposed, which is constructed by feedback connections and attention-based feedback blocks (AFBs). It has three major advantages compared with other dehazing algorithms: 1) The feedback connections, which allow network to use previous state to improve current performance, can effectively help the proposed AFDN generate clear remote sensing scenes progressively. 2) The AFBs are specially designed to extract global residual features, in which the dual attention block can usefully reduce redundant information and improve the fitting ability of network. 3) To obtain abundant texture information from UAV remote sensing images and restore real ground surfaces, an energy loss is employed for texture features learning. Experiments on synthetic datasets and real UAV remote sensing images verify the superiority of AFDN over several state-of-the-art methods in terms of qualitative and quantitative analysis.
We have developed a Python code that aims at automatizing the analysis of generic micro-IBA data by associating statistical methods and machine learning algorithms. The code is organized in two parts: hyperspectral im...
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This article compares two methods for encrypting private information of the image and to make the image data highly secure. One method implements the advanced least significant bit (LSB) steganography, AES encryption,...
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algorithms for radar imaging of the underlying surface from aerospace carriers have been synthesized. In doing so, we have considered two possible ways of image reception based on methods of active and passive remote ...
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ISBN:
(纸本)9781665432993
algorithms for radar imaging of the underlying surface from aerospace carriers have been synthesized. In doing so, we have considered two possible ways of image reception based on methods of active and passive remote sensing. On this basis, a radar complex, which allows forming images proportional to either the specific effective surface scattering or the effective noise temperature of the underlying surface, has been created. The structural scheme of the complex in accordance with both operating modes is developed. The results of radio image simulation are given.
Block-matching and 3D filtering (BM3D) and most of its improved algorithms assume that the intensity of the noise image is known, while the real image does not know the specific noise intensity. Moreover, many noise e...
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images taken in low-light environment often face with low dynamic range or color shift caused by lack of illumination. Although many algorithms have been proposed to enhance these images, not much effort has been made...
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Tomato leaf disease has a significant impact on tomato yield. Identifying agricultural diseases is critical for the agricultural sector. Detecting and classifying different tomato diseases is often labor intensive and...
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The proceedings contain 17 papers. The topics discussed include: detecting falling rocks by estimating excavation points using laser pointer;a real-time target tracking algorithm based on improved kernel correlation f...
ISBN:
(纸本)9781665424257
The proceedings contain 17 papers. The topics discussed include: detecting falling rocks by estimating excavation points using laser pointer;a real-time target tracking algorithm based on improved kernel correlation filter;constant false alarm OMP algorithm based on sparse ISAR imaging of stationary aircraft target;detection of anal sac disease, Atresia Ani and rectal prolapse for Canis lupus familiaris using imageprocessing and convolutional neural network;investigation of gas/oil/water distribution based on electrical capacitance and microwave tomography;lung nodule classification of CT images based on the deep learning algorithms;the research on the impact of visual image perception in a user interface on typeface design;and joint robust transmit and receive beamforming based on probability constraint.
Hyperspectral imaging is being applied in the field of Cosmology, farming, bioinformatics, medical devices, geology, physics, monitoring are some of the fields covered. However, the hyperspectral data are multi-dimens...
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