An approach for ordered dither using artificial neural network

被引：0
|
作者：
Chatterjee, Arpitam [1 ]
Tudu, Bipan [2 ]
Paul, Kanai Chandra [1 ]
机构：
[1] Jadavpur Univ, Dept Printing Engn, Kolkata 700032, India
[2] Jadavpur Univ, Dept Instrumentat & Elect Engn, Kolkata 700032, India
来源：
SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING | 2010年 / 7546卷
关键词：
Ordered dither; digital halftoning; thresholding; artificial neural network (ANN); back-propagation multi layer perceptron (BP-MLP); PSNR; UQI; SSIM;
D O I：
10.1117/12.853179
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Ordered dither is one of the popular techniques for digital halftoning where the original continuous tone image is thresholded against an orderly generated screen matrix. This paper presents a technique to generate the screen matrix using three-layer back-propagation multi layer perceptron (BP-MLP) artificial neural network (ANN) model. The image raw data has been preprocessed prior feeding to the input layer. The output obtained at the hidden layer of the model has been considered as the screen matrix for ordered dither. The results achieved using this technique have been evaluated subjectively as well as objectively using commonly used quality indices like peak signal to noise ratio (PSNR), universal quality index (UQI) and structural similarity index measure (SSIM).
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页数：6
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