Alternatives and similar repositories for Image-Blur-Detection:

Users that are interested in Image-Blur-Detection are comparing it to the libraries listed below

• whdcumt / BlurDetection
  A Python-Based Blur Detector using Fast Fourier Transforms
  ☆131Updated 8 months ago
• Sibozhu / MotionBlur-detection-by-CNN
  ☆169Updated 6 years ago
• aditya9211 / Blur-and-Clear-Classification
  Classifying the Blur and Clear Images
  ☆124Updated last year
• fled / blur_detection
  Blurred Region Detection using Singular Value Decomposition (SVD)
  ☆87Updated 7 years ago
• krshrimali / No-Reference-Image-Quality-Assessment-using-BRISQUE-Model
  Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ an…
  ☆197Updated 3 years ago
• xungeer29 / No-reference-Image-Quality-Assessment
  无参考图像质量评估
  ☆79Updated 6 years ago
• lidq92 / CNNIQAplusplus
  [unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014
  ☆96Updated 2 years ago
• zee0518 / TF_RankIQA
  Tensorflow implement of RankIQA.
  ☆25Updated 6 years ago
• dmaniry / deepIQA
  NR and FR IQA models based on Deep Convolutional Neural Networks
  ☆205Updated 6 years ago
• lidq92 / CNNIQA
  [unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
  ☆163Updated 2 years ago
• zhuhancheng / MetaIQA
  ☆128Updated 4 years ago
• ysyscool / SGDNet
  ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment
  ☆77Updated last year
• rendezhous / image-quality-assessment-python
  Python code to compute features of classic Image Quality Assessment models
  ☆38Updated 6 years ago
• lidq92 / SFA
  [official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
  ☆80Updated last year
• jongyookim / IQA_BIECON_release
  CNN-based no-reference image quality assessment
  ☆96Updated 7 years ago
• mr3coi / screen_photo_simulator
  Python implementation for simulating moire effects seen in photos of digital device screens
  ☆42Updated 6 years ago
• BruceZhanKai / Face-Image-Quality-Assessment
  ☆34Updated 6 years ago
• lidq92 / LinearityIQA
  [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
  ☆100Updated last year
• baidut / PaQ-2-PiQ
  Source code for "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"
  ☆100Updated 2 years ago
• HuiZeng / BIQA_Toolbox
  A benchmark implementation of representative deep BIQA models
  ☆116Updated 5 years ago
• zwx8981 / DBCNN-PyTorch
  An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆222Updated 2 years ago
• WillBrennan / BlurDetection2
  Blur Detection with OpenCV in Python
  ☆356Updated 2 years ago
• subpic / koniq
  KonIQ-10k Deep Learning Models
  ☆125Updated 3 years ago
• HyeongseokSon1 / deep_blur_detection_and_classification
  End-to-end network for blur detection and classification (presented at PG 2018)
  ☆73Updated 3 years ago
• jongyookim / IQA_DeepQA_FR_release
  CNN-based full-reference image quality assessment
  ☆65Updated 7 years ago
• zli2014 / python--
  总结-改进-汇总
  ☆145Updated 4 years ago
• Utkarsh-Deshmukh / Blurry-Image-Detector
  Robust Python implementation for detecting blurry images using ROI estimation and DCT analysis.
  ☆47Updated 3 years ago
• indyka / blur-detection
  Image blur detection using opencv-python
  ☆76Updated 3 years ago
• lospooky / pyblur
  blurring routines
  ☆106Updated 5 years ago
• yiling-chen / view-finding-network
  A deep ranking network that learns to find good compositions in a photograph.
  ☆73Updated 3 years ago