Hedjam, R.[Rachid]
* 2009: hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images, A
* 2009: Markovian clustering for the non-local means image denoising
* 2010: Segmentation-based document image denoising
* 2010: Text extraction from degraded document images
* 2011: Novel Data Representation for Text Extraction from Multispectral Historical Document Images
* 2011: spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images, A
* 2012: spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images, A
* 2013: Ground-Truth Estimation in Multispectral Representation Space: Application to Degraded Document Image Binarization
* 2013: Historical document image restoration using multispectral imaging system
* 2013: learning framework for the optimization and automation of document binarization methods, A
* 2014: Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images
* 2015: ICDAR 2015 contest on MultiSpectral Text Extraction (MS-TEx 2015)
* 2015: Influence of Color-to-Gray Conversion on the Performance of Document Image Binarization: Toward a Novel Optimization Problem
* 2016: Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery
* 2016: MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment
* 2017: CorrC2G: Color to Gray Conversion by Correlation
* 2017: Feature Learning for Footnote-Based Document Image Classification
* 2021: NMF with feature relationship preservation penalty term for clustering problems
Includes: Hedjam, R.[Rachid] Hedjam, R.
18 for Hedjam, R.
Hedjazi, L.[Lyamine]
* 2011: Similarity-margin based feature selection for symbolic interval data
Hedjazi, M.A.
* 2019: Learning to Inpaint by Progressively Growing the Mask Regions
* 2021: Image inpainting using scene constraints
Includes: Hedjazi, M.A. Hedjazi, M.A.[Mohamed Abbas]