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Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation

Aodong Shen, Han Dong, Kun Wang, Youyong Kong, Jiasong Wu, Huazhong Shu
2020 IEEE Access  
To address these problems, in this paper, a blur region detection method based on semantic segmentation is proposed to extract blur regions, which well integrates global image-level context and cross-layer  ...  Blur region detection from a single image with spatially-varying blur is a challenging task. Although many methods are proposed in the past decades, most of them are based on hand-crafted features.  ...  Extracting blur regions by semantic segmentation can be more accurate and robust. III. DATA AND METHOD A.  ... 
doi:10.1109/access.2020.2978084 fatcat:fieh37zezjbppbqyscjig2hvd4

Instance Segmentation based Semantic Matting for Compositing Applications [article]

Guanqing Hu, James J. Clark
2019 arXiv   pre-print
Our approach can be seen both as a refinement of existing instance segmentation algorithms and as a fully automated semantic image matting method.  ...  In order to achieve automatic compositing in natural scenes, we propose a fully automated method that integrates instance segmentation and image matting processes to generate high-quality semantic mattes  ...  Semantic Soft Segmentation [5] is a state-of-the-art work achieving good performance on automatic soft segmentation.  ... 
arXiv:1904.05457v1 fatcat:vtx2iixpzrgwdn2rhzyr3zq6cu

Automatic video segmentation and tracking for content-based applications

Hongliang Li, King Ngan
2007 IEEE Communications Magazine  
In this article we intend to provide a tutorial on the state-of-the-art in video segmentation and tracking technology with particular attention paid to the recent developments in attention-based object  ...  This greatly depends on automatic techniques for extracting such objects from multimedia data.  ...  Generally, it is difficult to segment moving objects using spatial techniques unless an appropriate decision is achieved on the merging of all its regions to form a single object of higher semantic meaning  ... 
doi:10.1109/mcom.2007.284535 fatcat:aeklgqq5cfcqrgof36sstyse7a

Self-supervised blur detection from synthetically blurred scenes

Aitor Alvarez-Gila, Adrian Galdran, Estibaliz Garrote, Joost van de Weijer
2019 Image and Vision Computing  
Blur detection aims at segmenting the blurred areas of a given image.  ...  Recent deep learning-based methods approach this problem by learning an end-to-end mapping between the blurred input and a binary mask representing the localization of its blurred areas.  ...  A weakly-supervised approach, in which such regions are instead selected from the ground truth labels of any given semantic segmentation image set. 3.  ... 
doi:10.1016/j.imavis.2019.08.008 fatcat:nhmy5okor5h35br4kaidevq6eq

A Robust Approach for Blur and Sharp Regions' Detection Using Multisequential Deviated Patterns

Awais Khan, Ali Javed, Aun Irtaza, Muhammad Tariq Mahmood, Sulaiman W. Harun
2021 International Journal of Optics  
This paper presents a robust novel method to extract the local metric map for blurred and nonblurred regions based on multisequential deviated patterns (MSDPs).  ...  MSDP feature extraction overcomes the limitations substantially by using automatic threshold computation over multiple scales of the images.  ...  Acknowledgments is work was supported by Education and Research Promotion Program of KOREATECH (2021).  ... 
doi:10.1155/2021/2785225 fatcat:tp54v6oleragheiysk2xl4ymoq

Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement [article]

Shen Zheng, Gaurav Gupta
2021 arXiv   pre-print
This paper proposes a semantic-guided zero-shot low-light enhancement network (SGZ) which is trained in the absence of paired images, unpaired datasets, and segmentation annotation.  ...  Extensive experiments on benchmark datasets and a low-light video demonstrate that our model outperforms the previous state-of-the-art.  ...  Semantic Segmentation Results on DarkCityScape.  ... 
arXiv:2110.00970v4 fatcat:hwihf25gfjboplqyczewqihhcy

Content-Based Photo Quality Assessment

Xiaoou Tang, Wei Luo, Xiaogang Wang
2013 IEEE transactions on multimedia  
Therefore we divide the photos into seven categories based on their content and develop a set of new subject area extraction methods and new visual features, which are specially designed for different  ...  propose to segment regions and extract visual features in different ways according to the categorization of photo content.  ...  More specifically, we propose three methods of extracting subject areas. • Clarity based region detection combines blur kernel estimation with image segmentation to accurately extract the clear region  ... 
doi:10.1109/tmm.2013.2269899 fatcat:muxc7ekjo5dijnqnjmmxbihhgu

Content-based photo quality assessment

Wei Luo, Xiaogang Wang, Xiaoou Tang
2011 2011 International Conference on Computer Vision  
Therefore we divide the photos into seven categories based on their content and develop a set of new subject area extraction methods and new visual features, which are specially designed for different  ...  propose to segment regions and extract visual features in different ways according to the categorization of photo content.  ...  More specifically, we propose three methods of extracting subject areas. • Clarity based region detection combines blur kernel estimation with image segmentation to accurately extract the clear region  ... 
doi:10.1109/iccv.2011.6126498 dblp:conf/iccv/LuoWT11 fatcat:ec3sc7vf2vdnzcluoxvqadfqke

Automatic Semantic Style Transfer using Deep Convolutional Neural Networks and Soft Masks [article]

Huihuang Zhao, Paul L. Rosin, Yu-Kun Lai
2017 arXiv   pre-print
In order to reduce or avoid such effects, we propose a novel method based on automatically segmenting the objects and extracting their soft semantic masks from the style and content images, in order to  ...  This paper presents an automatic image synthesis method to transfer the style of an example image to a content image.  ...  Acknowledgements This work was supported by National Natural Science Foundation of China (61503128), Science and Technology Plan Project of Hunan Province (2016TP102), Scientific Research Fund of Hunan  ... 
arXiv:1708.09641v1 fatcat:urf6hxpvqfcmdfylhtwevze5eu

Multi-Faceted Hierarchical Image Segmentation Taxonomy ( MFHIST)

Tilottama Goswami, Arun Agarwal, C Raghavendra Rao
2021 IEEE Access  
INDEX TERMS Literature survey, multi-faceted taxonomy, image segmentation, region based, semantic based.  ...  The paper proposes a unified way of systematic categorization of the research work on image segmentation called Multi-Faceted Hierarchical Image Segmentation Taxonomy (MFHIST), which consist of six facets  ...  Region based Active Contour Model, 4 based on deformable energy function is one of the popular techniques used for object extraction.  ... 
doi:10.1109/access.2021.3055678 fatcat:r3aaee4vrbgqhdzlb6qc5vkefy

AlphaNet: An Attention Guided Deep Network for Automatic Image Matting [article]

Rishab Sharma, Rahul Deora, Anirudha Vishvakarma
2020 arXiv   pre-print
To achieve complete automatic foreground extraction in natural scenes, we propose a method that assimilates semantic segmentation and deep image matting processes into a single network to generate detailed  ...  The contribution of our proposed method is two-fold, firstly it can be interpreted as a fully automated semantic image matting method and secondly as a refinement of existing semantic segmentation models  ...  The ability of the semantic segmentation to extract different types of semantic labels enables a way to automatically extract objects of different types.  ... 
arXiv:2003.03613v1 fatcat:mvur7tf3l5byjcnjm6j5gcdh7i

Face Segmentation: A Journey from Classical to Deep Learning Paradigm, Approaches, Trends, and Directions

Khalil Khan, Rehan Ullah Khan, Kashif Ahmad, Farman Ali, Kyung-Sup Kwak
2020 IEEE Access  
In this paper, we present a comprehensive review of face segmentation, focusing on methods for both the constrained and unconstrained environmental conditions.  ...  An extensive comparison of the previous approaches is intuitively presented, with a discussion of the potential directions for future research on the topic.  ...  Face image de-blurring recovers a comparably high-quality image from a blurred input image. Conventionally, the blurring process involves convolution of a latent clear image with a blur filter.  ... 
doi:10.1109/access.2020.2982970 fatcat:l5sowxqpubhilgznr3t54vi4iu

Aesthetics in Digital Photography: A Survey

Madhura Phatak
2020 International Journal for Research in Applied Science and Engineering Technology  
In our paper we discuss the existing aesthetic image evaluation on the basis of: 1) low level attributes e.g. color, texture, edges 2) Middle level attributes e.g., contours, shapes and regions. 3) High  ...  .Image aesthetics is a high level image retrieval attribute, we discuss and analyze the various aesthetics classification and prediction methods prevalent for determining the aesthetic inclination of  ...  There are a number of segmentation approaches like grid based, clustering based, contour based, model based, graph based, region growing based. 2) Contours: The result of image segmentation is a set  ... 
doi:10.22214/ijraset.2020.2105 fatcat:voseaxud3rheliqpl4dckin33u

Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation [article]

Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli, Quan Pan
2019 arXiv   pre-print
Given consecutive blurred stereo video frames, we aim to recover the latent clean images, estimate the 3D scene flow and segment the multiple moving objects.  ...  By exploiting the blur model constraint, the moving objects and the 3D scene structure, we reach an energy minimization formulation for joint deblurring, scene flow and segmentation.  ...  ACKNOWLEDGEMENTS This research was supported in part by Australia Centre for Robotic Vision, the Natural Science Foundation of China grants (61871325, 61420106007, 61671387, 61603303) and the Australian  ... 
arXiv:1910.02442v1 fatcat:k4wya6m3orgxnhid2pfqcr52gi

Dynamic Manga: Animating Still Manga via Camera Movement

Ying Cao, Xufang Pang, Antoni B. Chan, Rynson W. H. Lau
2017 IEEE transactions on multimedia  
Given a series of existing manga pages, we start by automatically extracting panels, comic characters and balloons from the manga pages.  ...  We have tested our method on manga series of different genres, and demonstrated that our method can generate animations that are more effective in storytelling and pacing, with less human efforts, as compared  ...  ACKNOWLEDGMENT We would like to thank Takeo Igarashi for his useful comments and suggestions on the application of our method to comic trailer generation.  ... 
doi:10.1109/tmm.2016.2609415 fatcat:3kr7naud5zfphihqeqhojr36ka
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