TY - GEN
T1 - An inverse halftoning algorithm based on neural networks and UP(x) atomic function
AU - Pelcastre-Jimenez, Fernando
AU - Nakano-Miyatake, Mariko
AU - Toscano-Medina, Karina
AU - Sanchez-Perez, Gabriel
AU - Perez-Meana, Hector
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/9
Y1 - 2015/10/9
N2 - Halftoning and inverse halftoning algorithms are very important image processing tools that have been widely used in digital printers, scanners, steganography and image authentication systems. Because such applications require obtaining high quality gray scale images from its halftoning versions, several inverse halftoning algorithms have been proposed during the last several years, which provide gray scale images with Peak Signal to Noise Ratio (PSNR) of about 25 to 28 dB. Although this may be enough for several applications, exist several other that require higher image quality. To this end, this paper proposes an inverse halftoning algorithm based on Upx atomic function and multilayer perceptron neural network. Experimental results show that proposed scheme provides gray scale images with PSNRs higher than 30dB independently of the method used to generate the halftone image.
AB - Halftoning and inverse halftoning algorithms are very important image processing tools that have been widely used in digital printers, scanners, steganography and image authentication systems. Because such applications require obtaining high quality gray scale images from its halftoning versions, several inverse halftoning algorithms have been proposed during the last several years, which provide gray scale images with Peak Signal to Noise Ratio (PSNR) of about 25 to 28 dB. Although this may be enough for several applications, exist several other that require higher image quality. To this end, this paper proposes an inverse halftoning algorithm based on Upx atomic function and multilayer perceptron neural network. Experimental results show that proposed scheme provides gray scale images with PSNRs higher than 30dB independently of the method used to generate the halftone image.
KW - Halftoning
KW - UP(x) atomic function
KW - back propagation algorithm
KW - inverse halftone
KW - multilayer perceptron
UR - http://www.scopus.com/inward/record.url?scp=84960158296&partnerID=8YFLogxK
U2 - 10.1109/TSP.2015.7296318
DO - 10.1109/TSP.2015.7296318
M3 - Contribución a la conferencia
AN - SCOPUS:84960158296
T3 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
SP - 523
EP - 527
BT - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
A2 - Molnar, Karol
A2 - Herencsar, Norbert
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
Y2 - 9 July 2015 through 11 July 2015
ER -