An approach for ordered dither using artificial neural network

Arpitam Chatterjee; Bipan Tudu; Kanai Chandra Paul

doi:10.1117/12.853179

26 February 2010 An approach for ordered dither using artificial neural network

Arpitam Chatterjee, Bipan Tudu, Kanai Chandra Paul

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754627 (2010) https://doi.org/10.1117/12.853179
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

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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Arpitam Chatterjee, Bipan Tudu, and Kanai Chandra Paul "An approach for ordered dither using artificial neural network", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754627 (26 February 2010); https://doi.org/10.1117/12.853179

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