A Literature Survey on Blur Detection Algorithms for Digital Imaging

No abstract is available for this paper.

• Publication year

  2013

• Venue

  2013 1st International Conference on Artificial Intelligence, Modelling and Simulation

• Publication date

  2013-12-03

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/AIMS.2013.50
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Estimating an Image's Blur Kernel from Edge Intensity Profiles

  2012cited by this paper
• Automatic blur region segmentation approach using image matting

  2012cited by this paper
• Adaptive detection method of degraded parameters in motion blur image

  2011cited by this paper
• Blurred image region detection and classification

  2011cited by this paper
• Blurred image regions detection using wavelet-based histograms and SVM

  2011cited by this paper
• Motion blur detection based on lowest directional high-frequency energy

  2010cited by this paper
• Statistics of natural image distortions

  2010cited by this paper
• Removing Camera Shake from a Single Photograph

  2009cited by this paper
• Low cost blur image detection and estimation for mobile devices

  2009cited by this paper
• No Reference Block Based Blur Detection

  2009cited by this paper
• High-quality motion deblurring from a single image

  2008cited by this paper
• Image partial blur detection and classification

  2008cited by this paper
• Imaeg Blur Reduction for Cell-Phone Cameras Via Adaptive Tonal Correction

  2007cited by this paper
• A Variational Framework for Simultaneous Motion Estimation and Restoration of Motion-Blurred Video

  2007cited by this paper
• Single Image Motion Deblurring Using Transparency

  2007influential reference
• Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest

  2007cited by this paper
• Studying Aesthetics in Photographic Images Using a Computational Approach

  2006cited by this paper
• Blind Motion Deblurring Using Image Statistics

  2006cited by this paper
• Segmenting a low-depth-of-field image using morphological filters and region merging

  2005influential reference
• A non-parametric blur measure based on edge analysis for image processing applications

  2004cited by this paper
• Automatic blur detection for meta-data extraction in content-based retrieval context

  2003cited by this paper
• Unsupervised Multiresolution Segmentation for Images with Low Depth of Field

  2001cited by this paper
• Multi-Scale Blur Estimation and Edge Type Classification for Scene Analysis

  1997cited by this paper
• Local Scale Control for Edge Detection and Blur Estimation

  1996influential reference
• The Design and Use of Steerable Filters

  1991cited by this paper

• Computer vision techniques for high-speed atomic force microscopy of DNA molecules

  2025cites this paper
• Rethinking Deblurring Strategies for 3D Reconstruction: Joint Optimization vs. Modular Approaches

  2025cites this paper
• Machine Learning for Detecting Blurred Images

  2024cites this paper
• Automated Mechanism for Image Capturing, Processing, and Evaluation for various programs using Deep Learning

  2024cites this paper
• MoBluNet: Motion Blur Detection in Microwave Imaging Using Hyper-Optimized CNNs

  2024cites this paper
• S URVEY ON SOFTWARE ISP METHODS BASED ON D EEP L EARNING

  2023cites this paper
• Reconstruction of small components using photogrammetry: a quantitative analysis of the depth of field influence using a miniature step gauge

  2023cites this paper
• LAPLACIAN-BASED BLUR DETECTION ALGORITHM FOR DIGITAL BREAST TOMOSYNTHESIS IMAGES IN IMPROVING BREAST CANCER DETECTION

  2023cites this paper
• A Systematic Approach for Object Detection in Unconstrained Environments

  2023cites this paper
• Design of an IP core for motion blur detection in fundus images using an FPGA-based accelerator

  2023cites this paper
• ISP Meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing

  2023cites this paper
• Exploration of Image Blur Detection Methods on Globally Blur Images

  2022cites this paper
• Blur Classification and Estimation of Motion Blur Parameters Using OLR

  2022cites this paper
• LiSee

  2022cites this paper
• Identification of blurred objects in real time Video using deep learning neural networks

  2022cites this paper
• Deployment of Aerial Robots after a major fire of an industrial hall with hazardous substances, a report

  2021cites this paper
• Interval-Based Visual-LiDAR Sensor Fusion

  2021cites this paper
• On-the-Fly Parallel Processing IP-Core for Image Blur Detection, Compression, and Chaotic Encryption Based on FPGA

  2021cites this paper
• iBlurDetect: Image Blur Detection Techniques Assessment and Evaluation Study

  2020cites this paper
• Macroscopic Wood Blurred Image Analysis to Determine The Factors of Causing Blur

  2020cites this paper
• Set-Membership Extrinsic Calibration of a 3D LiDAR and a Camera

  2020cites this paper
• Gradient-based technique for image structural analysis and applications

  2019cites this paper
• Image Blur Classification and Unintentional Blur Removal

  2019cites this paper
• Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges

  2018cites this paper
• Benchmarking of Pre-Processing Methods Employed in Facial Image Analysis

  2018cites this paper
• Neural Network for Smart Adjustment of Industrial Camera - Study of Deployed Application

  2018cites this paper
• A Compact Mobile Image Quality Assessment Using A Simple Frequency Signature

  2018cites this paper
• A Blind Blur Detection Method for Electro-optic (EO) Images

  2018cites this paper
• Image analysis for 3D micro-features: A new hybrid measurement method

  2017cites this paper
• Image blur classification and blur usefulness assessment

  2017cites this paper
• Approximate georeferencing and automatic blurred image detection to reduce the costs of UAV use in environmental and agricultural applications

  2016cites this paper
• An efficient deconvolution technique by identification and estimation of blur

  2016cites this paper
• Fast parallel blur detection of digital images

  2016cites this paper
• Distributed scene reconstruction from multiple mobile platforms

  2015cites this paper