关键词: 半调 查找表逆半调 内回归神经网络

Abstract:

To increase the estimation precision ot inverse halfroning values whose halftone patterns do not exist in the image training set, an inverse halftoning method based on lookup tables and the internal recurrent neural network is proposed. By studying, training and optimizing the appropriate neural network structure, layers and nodes are established. The proposed algorithm is computationally inexpensive and requires less memory than others. The experime ntal results show the satisfactory quality and higher PSNR.

Key words: halftoning, look up table inverse halftoning, internal recurrent neural network