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707 Results Found

  • Article
  • Open Access
4 Citations
3,412 Views
19 Pages

Super-Pixel Guided Low-Light Images Enhancement with Features Restoration

  • Xiaoming Liu,
  • Yan Yang,
  • Yuanhong Zhong,
  • Dong Xiong and
  • Zhiyong Huang

11 May 2022

Dealing with low-light images is a challenging problem in the image processing field. A mature low-light enhancement technology will not only be conductive to human visual perception but also lay a solid foundation for the subsequent high-level tasks...

  • Article
  • Open Access
2 Citations
2,396 Views
22 Pages

Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel Segmentation

  • Junbo Yu,
  • Tinghua Ai,
  • Haijiang Xu,
  • Lingrui Yan and
  • Yilang Shen

The consistency of geospatial data is of great significance for the application and updating of geographic information in web maps. Due to the multiple data sources and different temporal versions, the tile web maps usually meet the inconsistency que...

  • Article
  • Open Access
17 Citations
4,193 Views
18 Pages

2 November 2022

Large volumes of crude oil accidentally released into the sea may cause irreversible adverse impacts on marine and coastal environments. Large swath optical imagery, acquired using platforms such as the moderate-resolution imaging spectroradiometer (...

  • Article
  • Open Access
21 Citations
4,212 Views
19 Pages

22 June 2018

Chinese Gaofen-3 (GF-3), a vital satellite for high-resolution earth observation, was the first C-band polarimetric synthetic aperture radar (SAR) launched in China with a resolution of up to one meter. Polarimetric SAR can obtain the complete physic...

  • Article
  • Open Access
3 Citations
3,482 Views
15 Pages

Deep Learning-Based Superpixel Texture Analysis for Crack Detection in Multi-Modal Infrastructure Images

  • Sara Shahsavarani,
  • Clemente Ibarra-Castanedo,
  • Fernando Lopez and
  • Xavier P. V. Maldague

14 June 2024

Infrared and visible imaging play crucial roles in non-destructive testing, where accurate defect segmentation and detection are paramount. However, the scarcity of annotated training data or the limited number of data availability often poses a chal...

  • Article
  • Open Access
2 Citations
2,441 Views
22 Pages

16 August 2023

As clouds of different thicknesses block sunlight, large areas of cloud shadows with varying brightness can appear on the ground. Cloud shadows in high-resolution remote sensing images lead to uneven loss of image feature information. However, cloud...

  • Article
  • Open Access
13 Citations
5,846 Views
15 Pages

Sub-Pixel Convolutional Neural Network for Image Super-Resolution Reconstruction

  • Guifang Shao,
  • Qiao Sun,
  • Yunlong Gao,
  • Qingyuan Zhu,
  • Fengqiang Gao and
  • Junfa Zhang

24 August 2023

Image super-resolution (SR) reconstruction technology can improve the quality of low-resolution (LR) images. There are many available deep learning networks different from traditional machine learning algorithms. However, these networks are usually p...

  • Article
  • Open Access
10 Citations
3,472 Views
21 Pages

15 June 2023

The deep-learning-based image super-resolution opens a new direction for the remote sensing field to reconstruct further information and details from captured images. However, most current SR works try to improve the performance by increasing the com...

  • Article
  • Open Access
9 Citations
2,898 Views
20 Pages

24 May 2024

Transformers have recently achieved significant breakthroughs in various visual tasks. However, these methods often overlook the optimization of interactions between convolution and transformer blocks. Although the basic attention module strengthens...

  • Article
  • Open Access
9 Citations
3,196 Views
9 Pages

Pixel Resolution Imaging in Parallel Phase-Shifting Digital Holography

  • Yue Wang,
  • Haoran Meng,
  • Xinyue Liu,
  • Jiahao Liu and
  • Xu Cui

8 June 2022

Parallel phase-shifting digital holography (PPSDH) employing a polarization image sensor can suppress zero-order and twin-image noise through a single exposure, achieve instantaneous measurement of complex-valued dynamic objects, and have broad appli...

  • Article
  • Open Access
13 Citations
3,735 Views
15 Pages

7 February 2020

In this paper, an adaptive dual-regularization super-resolution reconstruction algorithm based on sub-pixel convolution (MPSR) is proposed. There are two novel features of the algorithm: First, the traditional regularization algorithm and sub-pixel c...

  • Article
  • Open Access
23 Citations
7,883 Views
20 Pages

RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution

  • Juan Du,
  • Huixin Zhou,
  • Kun Qian,
  • Wei Tan,
  • Zhe Zhang,
  • Lin Gu and
  • Yue Yu

3 January 2020

Deep learning-based image super-resolution has shown significantly good performance in improving image quality. In this paper, the RGB-IR cross input and sub-pixel upsampling network is proposed to increase the spatial resolution of an Infrared (IR)...

  • Article
  • Open Access
1 Citations
2,372 Views
20 Pages

20 February 2023

To solve the problems of image threshold segmentation based on weak continuous constraint theory, the running time is long, and the two parameters need to be selected manually, and therefore a fast single-parameter energy function thresholding for im...

  • Article
  • Open Access
24 Citations
7,241 Views
17 Pages

5 January 2021

Due to medium scattering, absorption, and complex light interactions, capturing objects from the underwater environment has always been a difficult task. Single-pixel imaging (SPI) is an efficient imaging approach that can obtain spatial object infor...

  • Feature Paper
  • Article
  • Open Access
27 Citations
6,822 Views
13 Pages

22 June 2022

Empowered by pixel super-resolution (PSR) and phase retrieval techniques, lensless on-chip microscopy opens up new possibilities for high-throughput biomedical imaging. However, the current PSR phase retrieval approaches are time consuming in terms o...

  • Article
  • Open Access
3 Citations
4,504 Views
26 Pages

Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)

  • Manzoor Ahmed Hashmani,
  • Mehak Maqbool Memon,
  • Kamran Raza,
  • Syed Hasan Adil,
  • Syed Sajjad Rizvi and
  • Muhammad Umair

25 January 2022

Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel. Computation of super-pixels is highly...

  • Article
  • Open Access
5 Citations
6,164 Views
20 Pages

Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging

  • Quanchun Jiang,
  • Olamide Timothy Tawose,
  • Songwen Pei,
  • Xiaodong Chen,
  • Linhua Jiang,
  • Jiayao Wang and
  • Dongfang Zhao

In this paper, we propose a semantic segmentation method based on superpixel region merging and convolutional neural network (CNN), referred to as regional merging neural network (RMNN). Image annotation has always been an important role in weakly-su...

  • Article
  • Open Access
26 Citations
5,228 Views
18 Pages

A Robust Sparse Representation Model for Hyperspectral Image Classification

  • Shaoguang Huang,
  • Hongyan Zhang and
  • Aleksandra Pižurica

12 September 2017

Sparse representation has been extensively investigated for hyperspectral image (HSI) classification and led to substantial improvements in the performance over the traditional methods, such as support vector machine (SVM). However, the existing spar...

  • Article
  • Open Access
5 Citations
3,224 Views
15 Pages

11 October 2018

Compared with ordinary image classification tasks, fine-grained image classification is closer to real-life scenes. Its key point is how to find the local areas with sufficient discrimination and perform effective feature learning. Based on a bilinea...

  • Article
  • Open Access
337 Views
22 Pages

To address the issue of decreased localization accuracy and robustness in existing visual SLAM systems caused by imprecise identification of dynamic regions in complex dynamic scenes—leading to dynamic interference or reduction in valid static...

  • Article
  • Open Access
41 Citations
8,328 Views
26 Pages

Hyperspectral imagery provides detailed spectral information that can be used for tree species discrimination. The aim of this study is to assess spectral–spatial complexity reduction techniques for tree species classification using an airborne...

  • Article
  • Open Access
2 Citations
3,312 Views
16 Pages

Pixel-Level Degradation for Text Image Super-Resolution and Recognition

  • Xiaohong Qian,
  • Lifeng Xie,
  • Ning Ye,
  • Renlong Le and
  • Shengying Yang

5 November 2023

In the realm of image reconstruction, deep learning-based super-resolution (SR) has established itself as a prevalent technique, particularly in the domain of text image restoration. This study aims to address notable deficiencies in existing researc...

  • Article
  • Open Access
3 Citations
2,935 Views
18 Pages

An Object-Aware Network Embedding Deep Superpixel for Semantic Segmentation of Remote Sensing Images

  • Ziran Ye,
  • Yue Lin,
  • Baiyu Dong,
  • Xiangfeng Tan,
  • Mengdi Dai and
  • Dedong Kong

13 October 2024

Semantic segmentation forms the foundation for understanding very high resolution (VHR) remote sensing images, with extensive demand and practical application value. The convolutional neural networks (CNNs), known for their prowess in hierarchical fe...

  • Article
  • Open Access
58 Citations
6,294 Views
26 Pages

14 March 2020

Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recog...

  • Article
  • Open Access
10 Citations
5,560 Views
18 Pages

10 November 2019

Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification. However, although most superp...

  • Article
  • Open Access
15 Citations
3,670 Views
16 Pages

8 January 2020

Although superpixel segmentation provides a powerful tool for hyperspectral image (HSI) classification, it is still a challenging problem to classify an HSI at superpixel level because of the characteristics of adaptive size and shape of superpixels....

  • Article
  • Open Access
2,071 Views
23 Pages

29 April 2024

Transformer-based encoder-decoder networks for face super-resolution (FSR) have achieved promising success in delivering stunningly clear and detailed facial images by capturing local and global dependencies. However, these methods have certain limit...

  • Article
  • Open Access
178 Citations
7,298 Views
22 Pages

23 September 2019

Single-pixel imaging via compressed sensing can reconstruct high-quality images from a few linear random measurements of an object known a priori to be sparse or compressive, by using a point/bucket detector without spatial resolution. Nevertheless,...

  • Article
  • Open Access
1 Citations
2,675 Views
22 Pages

9 January 2022

Superpixel segmentation has become a crucial pre-processing tool to reduce computation in many computer vision applications. In this paper, a superpixel extraction algorithm based on a seed strategy of contour encoding (SSCE) for infrared images is p...

  • Article
  • Open Access
5 Citations
6,281 Views
24 Pages

Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels. The kernels can capture the position, direction...

  • Article
  • Open Access
5 Citations
3,667 Views
12 Pages

Efficient Color Quantization Using Superpixels

  • Mariusz Frackiewicz and
  • Henryk Palus

12 August 2022

We propose three methods for the color quantization of superpixel images. Prior to the application of each method, the target image is first segmented into a finite number of superpixels by grouping the pixels that are similar in color. The color of...

  • Article
  • Open Access
3 Citations
1,945 Views
23 Pages

Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification

  • Boce Chu,
  • Mengxuan Zhang,
  • Kun Ma,
  • Long Liu,
  • Junwei Wan,
  • Jinyong Chen,
  • Jie Chen and
  • Hongcheng Zeng

29 February 2024

Superpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency. The initial numbers of PolSAR superpixels are usually designe...

  • Article
  • Open Access
3 Citations
3,083 Views
16 Pages

Content-Sensitive Superpixel Generation with Boundary Adjustment

  • Dong Zhang,
  • Gang Xie,
  • Jinchang Ren,
  • Zhe Zhang,
  • Wenliang Bao and
  • Xinying Xu

30 April 2020

Superpixel segmentation has become a crucial tool in many image processing and computer vision applications. In this paper, a novel content-sensitive superpixel generation algorithm with boundary adjustment is proposed. First, the image local entropy...

  • Article
  • Open Access
80 Citations
11,744 Views
32 Pages

7 February 2017

Recently, superpixel segmentation has been proven to be a powerful tool for hyperspectral image (HSI) classification. Nonetheless, the selection of the optimal superpixel size is a nontrivial task. In addition, compared with single-scale superpixel s...

  • Article
  • Open Access
1,442 Views
15 Pages

8 December 2023

A superpixel is a group of pixels with similar low-level and mid-level properties, which can be seen as a basic unit in the pre-processing of remote sensing images. Therefore, superpixel segmentation can reduce the computation cost largely. However,...

  • Article
  • Open Access
14 Citations
4,316 Views
30 Pages

Improved Spatial-Spectral Superpixel Hyperspectral Unmixing

  • Mohammed Q. Alkhatib and
  • Miguel Velez-Reyes

13 October 2019

In this paper, an unsupervised unmixing approach based on superpixel representation combined with regional partitioning is presented. A reduced-size image representation is obtained using superpixel segmentation where each superpixel is represented b...

  • Article
  • Open Access
4 Citations
3,434 Views
18 Pages

Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm

  • Bing Li,
  • Shaoyong Wu,
  • Siqin Zhang,
  • Xia Liu and
  • Guangqing Li

3 January 2022

Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation. In order to improve the speed and performance o...

  • Article
  • Open Access
2 Citations
1,335 Views
19 Pages

Spherical Superpixel Segmentation with Context Identity and Contour Intensity

  • Nannan Liao,
  • Baolong Guo,
  • Fangliang He,
  • Wenxing Li,
  • Cheng Li and
  • Hui Liu

19 July 2024

Superpixel segmentation is a popular preprocessing tool in the field of image processing. Nevertheless, conventional planar superpixel generation algorithms are inadequately suited for segmenting symmetrical spherical images due to the distinctive ge...

  • Article
  • Open Access
2,037 Views
19 Pages

Superpixels with Content-Awareness via a Two-Stage Generation Framework

  • Cheng Li,
  • Nannan Liao,
  • Zhe Huang,
  • He Bian,
  • Zhe Zhang and
  • Long Ren

8 August 2024

The superpixel usually serves as a region-level feature in various image processing tasks, and is known for segmentation accuracy, spatial compactness and running efficiency. However, since these properties are intrinsically incompatible, there is st...

  • Article
  • Open Access
7 Citations
3,002 Views
17 Pages

Multitask Learning-Based for SAR Image Superpixel Generation

  • Jiafei Liu,
  • Qingsong Wang,
  • Jianda Cheng,
  • Deliang Xiang and
  • Wenbo Jing

14 February 2022

Most of the existing synthetic aperture radar (SAR) image superpixel generation methods are designed based on the raw SAR images or artificially designed features. However, such methods have the following limitations: (1) SAR images are severely affe...

  • Technical Note
  • Open Access
9 Citations
3,052 Views
16 Pages

23 February 2021

This paper presents a composite kernel method (MWASCK) based on multiscale weighted adjacent superpixels (ASs) to classify hyperspectral image (HSI). The MWASCK adequately exploits spatial-spectral features of weighted adjacent superpixels to guarant...

  • Article
  • Open Access
28 Citations
4,245 Views
20 Pages

Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification

  • Álvaro Acción,
  • Francisco Argüello and
  • Dora B. Heras

10 December 2020

Deep learning (DL) has been shown to obtain superior results for classification tasks in the field of remote sensing hyperspectral imaging. Superpixel-based techniques can be applied to DL, significantly decreasing training and prediction times, but...

  • Article
  • Open Access
9 Citations
3,573 Views
13 Pages

A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation

  • Wangpeng He,
  • Cheng Li,
  • Yanzong Guo,
  • Zhifei Wei and
  • Baolong Guo

13 June 2019

Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color...

  • Article
  • Open Access
3 Citations
2,367 Views
18 Pages

22 August 2022

Superpixel segmentation is widely used in polarimetric synthetic aperture radar (PolSAR) image classification. However, the classification method using simple majority voting cannot easily handle evidence conflicts in a single superpixel. At present,...

  • Article
  • Open Access
13 Citations
5,154 Views
27 Pages

12 June 2017

Remote sensing technologies have been widely applied in urban environments’ monitoring, synthesis and modeling. Incorporating spatial information in perceptually coherent regions, superpixel-based approaches can effectively eliminate the “salt and pe...

  • Article
  • Open Access
1 Citations
2,570 Views
18 Pages

31 January 2023

Hyperspectral-image (HSI) restoration plays an essential role in remote sensing image processing. Recently, superpixel segmentation-based the low-rank regularized methods for HSI restoration have shown outstanding performance. However, most of them s...

  • Article
  • Open Access
1 Citations
2,084 Views
17 Pages

MAS-Net: Multi-Attention Hybrid Network for Superpixel Segmentation

  • Guanghui Yan,
  • Chenzhen Wei,
  • Xiaohong Jia,
  • Yonghui Li and
  • Wenwen Chang

6 August 2024

Superpixels, as essential mid-level image representations, have been widely used in computer vision due to their computational efficiency and redundant compression. Compared with traditional superpixel methods, superpixel algorithms based on deep lea...

  • Article
  • Open Access
8 Citations
3,775 Views
18 Pages

9 September 2021

Hyperspectral image (HSI) classification is one of the major problems in the field of remote sensing. Particularly, graph-based HSI classification is a promising topic and has received increasing attention in recent years. However, graphs with pixels...

  • Article
  • Open Access
792 Views
23 Pages

Symmetry-Aware Superpixel-Enhanced Few-Shot Semantic Segmentation

  • Lan Guo,
  • Xuyang Li,
  • Jinqiang Wang,
  • Yuqi Tong,
  • Jie Xiao,
  • Rui Zhou,
  • Ling-Huey Li,
  • Qingguo Zhou and
  • Kuan-Ching Li

14 October 2025

Few-Shot Semantic Segmentation (FSS) faces significant challenges in modeling complex backgrounds and maintaining prediction consistency due to limited training samples. Existing methods oversimplify backgrounds as single negative classes and rely so...

  • Article
  • Open Access
3 Citations
1,862 Views
22 Pages

SMALE: Hyperspectral Image Classification via Superpixels and Manifold Learning

  • Nannan Liao,
  • Jianglei Gong,
  • Wenxing Li,
  • Cheng Li,
  • Chaoyan Zhang and
  • Baolong Guo

17 September 2024

As an extremely efficient preprocessing tool, superpixels have become more and more popular in various computer vision tasks. Nevertheless, there are still several drawbacks in the application of hyperspectral image (HSl) processing. Firstly, it is d...

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