Paradigm shifts in super-resolution techniques for remote sensing applications
Super-resolution (SR) algorithms have now become a bottleneck for several remote sensing
applications. SR is a technique that enhances minute details of the image by increasing …
applications. SR is a technique that enhances minute details of the image by increasing …
A parallel algorithm of image mean filtering based on OpenCL
H Xiao, B Guo, H Zhang, C Li - IEEE Access, 2021 - ieeexplore.ieee.org
The image will be contaminated by noise during the imaging process, which severely
degrades the image quality. It is necessary to filter the collected image. With the increasing …
degrades the image quality. It is necessary to filter the collected image. With the increasing …
Image Super-Resolution Using Sparse Representation And Novelty Noise Removal Super-Resolution
SH Ahmed, S Kurnaz… - 2020 4th International …, 2020 - ieeexplore.ieee.org
The reconstruction of a composite image with a super-resolution will produce a high-
resolution image from a low-resolution picture. Since the super-resolution problem is not …
resolution image from a low-resolution picture. Since the super-resolution problem is not …
A novel natural image noise level estimation based on flat patches and local statistics
Z Fang, X Yi - Multimedia Tools and Applications, 2019 - Springer
This paper proposes a high-precision algorithm for noise level estimation. Different from
existing algorithms, we present a new noise level estimation algorithm by linearly combining …
existing algorithms, we present a new noise level estimation algorithm by linearly combining …
Satellite image detection and classification using hybrid segmentation and feature extraction with enhanced probabilistic neural network
NB Devi, BB Beenarani, E Sivanantham - Earth Science Informatics, 2023 - Springer
Abstract Satellite Image Processing is a vital field of research and development that involves
the processing of images of the Earth and satellites obtained by artificial satellites. Images …
the processing of images of the Earth and satellites obtained by artificial satellites. Images …
Wavelet integrated residual dictionary training for single image super-resolution
Single image super-resolution (SISR) is an encouraging process for image processing
applications, where the super-resolution (SR) problem is resolved by the sparse …
applications, where the super-resolution (SR) problem is resolved by the sparse …
Analysis of the wavelet domain filtering approach for video super-resolution
MV Daithankar, SD Ruikar - Engineering, Technology & Applied Science …, 2021 - etasr.com
The wavelet domain-centered algorithms for the super-resolution research area give better
visual quality and have been explored by different researchers. The visual quality is …
visual quality and have been explored by different researchers. The visual quality is …
Noise level estimation based on eigenvalue learning
H Liu, Z Fang, W Lu - Multimedia Tools and Applications, 2024 - Springer
At present, many algorithms use a single minimum eigenvalue to estimate the real noise
level, and the levels estimated by these algorithms have been proven to be less than the …
level, and the levels estimated by these algorithms have been proven to be less than the …
[HTML][HTML] Comparison of filter banks of DWT in recovery of image using one dimensional signal vector
Digital filter bank of DWT (discrete wavelet transform) provides the approximate and detail
components of a signal, whereas the perfection of the filter bank depends on recovery of the …
components of a signal, whereas the perfection of the filter bank depends on recovery of the …
[HTML][HTML] 基于NSCT 稀疏编码的医学图像超分辨率重建算法
聂小栋， 成云凤 - Software Engineering and Applications, 2023 - hanspub.org
为了满足临床对医学图像分辨率的进一步需求, 提出了一种非下采样Contourlet
变换和稀疏表示结合的单帧医学图像超分辨率重建算法. 该方法在改进字典学习步骤中 …
变换和稀疏表示结合的单帧医学图像超分辨率重建算法. 该方法在改进字典学习步骤中 …