Results 41 to 50 of about 7,093 (264)

Iterative Back Projection Super Resolution Reconstruction Algorithm Based on New Edge Directed Interpolation [PDF]

Jisuanji gongcheng, 2016
The Iterative Back Projection(IBP) Super Resolution Reconstruction(SRR) algorithm based on improved Keren registration method uses bilinear interpolation method to get the initial estimations of high-resolution images,which leads to the sawtooth in the ...
TAO Zhiqiang,LI Hailin,ZHANG Hongbing
doaj   +1 more source

مقارنة بين طرق تكبير الصور الرقمية [PDF]

مجلة ابحاث كلية التربية الاساسية, 2013
The research interested in digital image zooming from (128x128) to (256x256) using three of the zooming methods namley; Bilinear Interpolation, Nearest Neighbour Interpolation, and Linear Interpolation methods, then image difference measures (PSNR, MSE)
الحان انور يونس, ايمان هشام عبد الرحمن   +1 more
doaj  

On-Board Georeferencing Using FPGA-Based Optimized Second-Order Polynomial Equation

Remote Sensing, 2019
For real-time monitoring of natural disasters, such as fire, volcano, flood, landslide, and coastal inundation, highly-accurate georeferenced remotely sensed imagery is needed.
Dequan Liu, Guoqing Zhou, Jingjin Huang, Rongting Zhang, Lei Shu, Xiang Zhou, Chun Sheng Xin   +6 more
doaj   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

Advanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang, Chenzhou Zhao, Bo Dai, Qi Wang, Dawei Zhang, Songlin Zhuang, Chao Ping Chen   +6 more
wiley   +1 more source

IMPROVEMENT OF DEM PRODUCED FROM SRTM90 BY USING MATLAB [PDF]

Port Said Engineering Research Journal, 2013
The main objective of this study was to improve the DEM produced from SRTM90 by using the interpolation methods existing in MATLAB software. There are three types available of interpolations; bicubic, bilinear, and nearest neighbor interpolation methods.
Ashraf Elkoushy
doaj   +1 more source

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

Advanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang, Johyeon Kim, Sueyeon Kim, Hyunbo Cho, Jongwook Jeon   +4 more
wiley   +1 more source

An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation [PDF]

Big Data and Computing Visions
Pixel transitions are critical in image processing, largely depending on interpolation methods to ensure smoothness and clarity. This work focuses on two widely used image interpolation techniques: nearest neighbor interpolation and bilinear ...
Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali   +3 more
doaj   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source