Fundamentals of digital image processing
Fundamentals of digital image processing
Automated entry system for printed documents
Pattern Recognition
Detail-preserving median based filters in image processing
Pattern Recognition Letters
An improved document skew angle estimation technique
Pattern Recognition Letters
Determination of the Script and Language Content of Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast approach to the detection and correction of skew documents
Pattern Recognition Letters
Removing Noise and Preserving Details with Relaxed Median Filters
Journal of Mathematical Imaging and Vision
Digital Image Processing
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skew and Slant Correction for Document Images Using Gradient Direction
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Projection profile based skew estimation algorithm for JBIG compressed images
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Faxed image restoration using Kalman filtering
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Skew Detection of Document Images by Focused Nearest-Neighbor Clustering
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Background Noise Detection and Cleaning in Document Images
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A New Textual/Non-Textual Classifier for Document Skew Correction
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Binarizing Document Image Using Coplanar Prefilter
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A nearest-neighbor chain based approach to skew estimation in document images
Pattern Recognition Letters
A Variational Approach to Remove Outliers and Impulse Noise
Journal of Mathematical Imaging and Vision
A fast orientation and skew detection algorithm for monochromatic document images
Proceedings of the 2005 ACM symposium on Document engineering
Skew Detection in Binary Image Documents Based on Image Dilation and Region labeling Approach
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Image Denoise Based on Soft-Threshold and Edge Enhancement
DMAMH '07 Proceedings of the Second Workshop on Digital Media and its Application in Museum & Heritage
Hough transform based fast skew detection and accurate skew correction methods
Pattern Recognition
Skew Estimation and Correction of Text Using Bounding Box
CGIV '08 Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation
An Efficient Salt-and-Pepper Noise Removal on Local Edge-Preserving Function
ICESSSYMPOSIA '08 Proceedings of the 2008 International Conference on Embedded Software and Systems Symposia
Support vector regression based image denoising
Image and Vision Computing
A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
International Journal of Robotics and Automation
A new technique for global and local skew correction in binary documents
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Entropy based skew correction of document images
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
A new efficient approach for the removal of impulse noise from highly corrupted images
IEEE Transactions on Image Processing
Robust detection of skew in document images
IEEE Transactions on Image Processing
Variational approach for edge-preserving regularization using coupled PDEs
IEEE Transactions on Image Processing
Image compression via joint statistical characterization in the wavelet domain
IEEE Transactions on Image Processing
Spatially adaptive wavelet thresholding with context modeling for image denoising
IEEE Transactions on Image Processing
A quasi-Euclidean norm to speed up vector median filtering
IEEE Transactions on Image Processing
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models
IEEE Transactions on Image Processing
Spatial noise shaping based on human visual sensitivity and its application to image coding
IEEE Transactions on Image Processing
Spatially adaptive wavelet denoising using the minimum description length principle
IEEE Transactions on Image Processing
A steerable complex wavelet construction and its application to image denoising
IEEE Transactions on Image Processing
Image denoising based on wavelets and multifractals for singularity detection
IEEE Transactions on Image Processing
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
IEEE Transactions on Image Processing
Fast perspective recovery of text in natural scenes
Image and Vision Computing
Features extraction for soccer video semantic analysis: current achievements and remaining issues
Artificial Intelligence Review
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Image analysis is an interesting research area with a large variety of challenging applications. Researchers have worked from decades on this topic, as witnessed by the scientific literature. However, document image analysis is the special case in image analysis as their spatial properties are different from natural images. Therefore, the main focus of this paper is to describe image denoising issues in general and document image issues in particular. Since the field of document processing is relatively new, it is also dynamic, so current methods have room for improvement and innovations are still being made. Several algorithms proposed in the literature are described. Critical discussions are reported about the current status of the field and open problems are highlighted. It is also demonstrated that, there are rarely definitive techniques for all cases of a certain problem. We surveyed the state of art, analyzed recent trends and tried to identify challenges for future research in this field.