A Two-Step Adaptive Descreening Method for Scanned Halftone Image
Halftoning is a necessary technique for electrophotographic printers to print continuous tone images.Scanned images obtained from such printed hard copies are corrupted by screen like artifacts called halftone patterns.Descreening aims to recover high quality continuous tone image from the scanned image.In this paper,a two-step descreening method is proposed to remove screen like artifacts adaptively.Firstly,an Extreme Learning Machine (ELM) based halftone image classification scheme is introduced to categorize the scanned images into different resolutions.Then in the halftone pattern removal step,patch similarity based smoothing filtering and nonlinear enhancement are combined to remove halftone patterns and preserve the image quality.Experiments demonstrate that the proposed method removes halftone patterns effectively,while preserving more details and recovering cleaner smoothing regions.
Scanned image descreening halftone adaptive parameters
Fei Chen Shutao Li Le Xu Bin Sun Jun Sun
College of Electrical and Information Engineering,Hunan University,Changsha,China,410082 School of Automation,Southeast University,Nanjing,China,210096 Information Department,Fujitsu Research and Development Center,Beijing,China,100025
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
97-106
2014-11-01（万方平台首次上网日期，不代表论文的发表时间）