As traditional methods could not obtain satisfying result, we try to introduce deep neural networks for the multilevel halftoning task. Comparing Figure 1b with the original image ( Figure 1a), we found they have a similar texture but a remarkable deviation in color. When using Yik-hing Fung’s error diffusion method to process and transform the ceramic tile color separation image into a multilevel halftone image, we could obtain an example result, as shown in Figure 1b.
![visual watermark 4.53 activation code visual watermark 4.53 activation code](https://www.visualwatermark.com/images/posts/version-27.jpg)
Moreover, converting a color separation image into a halftone image by using existing binary and multilevel halftone technology is impossible because of the high precision requirement of inkjet printing a ceramic tile. In the application scene of ceramic tile inkjet printing, the quantification process cannot be described as an ideal mathematical model because the processes of inkjet printing and high-temperature firing of ceramic tile are a highly complex system. The algorithm’s output has good blue noise characteristics, no directional artifact, and retains the original image’s feature details. proposed a multilevel halftone using the multiscale error diffusion. The two algorithms decompose the input image into layers, use a binary error diffusion technique to process each layer halftone, and finally, combine each layer’s halftone processing results to generate a multilevel halftone image. proposed a relatively simple multilevel halftone algorithm on the basis of the error diffusion to solve banding artifacts. proposed a multilevel blue noise model for multilevel halftones.
![visual watermark 4.53 activation code visual watermark 4.53 activation code](https://i2.wp.com/pcwarezbox.com/wp-content/uploads/2019/09/Visual-Watermark-PCWarezbox.com-1.png)
To some extent, this algorithm can eliminate artificial traces, but the quality of the whole halftone image decreases, thereby weakening the advantage of the multilevel error diffusion. The idea is embedding a binary halftone into a multilevel halftone. proposed an embedded multilevel error diffusion algorithm. implemented the multilevel halftoning method on the basis of the ordered dithering algorithm. Experiments show that even adding one or two intermediate halftones can substantially enhance the image’s overall visual perception. put forward a multilevel dithering halftone algorithm : adding a small amount of intermediate halftone in binary halftone images can remarkably improve the quality of halftone images. Thus, several multilevel halftoning methods have emerged. An intermediate tone between the traditional binary (black and white) can make the transition between halftone image more natural, and its quality is improved. The improvement of the visual requirements of printed images has shown that the halftone image quality can be enhanced by improving the tonal performance of individual pixels. Experimental results show that our methodology is effective for performing the color-to-halftone transformation and identifying the copyright. (4) A invisible and robust watermark is embedding algorithm towards halftone images is proposed for copyright protection. (3) An improved error diffusion algorithm is used to calibrate and convert the predicted continuous-tone transition images into multilevel halftone images for inkjet printing. (2) A modified U-Net model is trained on the self-built dataset and applied to the ceramic-tile images.
![visual watermark 4.53 activation code visual watermark 4.53 activation code](https://torrent-mac.com/wp-content/uploads/2021/02/Visual-Watermark-5.16-Crack-2021-Latest-With-Product-Key-Download-1024x659.png)
In this paper, we propose a four-stage framework: (1) A self-built dataset is used to solve non-convergence and overfitting problems caused by the unbalanced samples and non-uniqueness of halftone images. To deter copyright infringement, we further apply an ad hoc invisible watermarking method for halftone images. Based on a modified U-Net model and a modified error diffusion algorithm, we propose a multilevel halftoning method, which is capable of converting color-separation images of ceramic tiles into high-resolution halftone images. Given that the processes of inkjet printing and high-temperature firing of ceramic tiles are a highly complex nonlinear system, and existing halftoning methods pose intractable problems, including inconsistent textures and color deviations. However, traditional binary halftoning techniques cannot produce high-resolution images for the ensuing printing process. High-resolution ceramic tiles are often produced through inkjet printing, in which the input images are converted into a halftone format. Ceramic art is essential in interior design and decoration, and making exquisite ceramic tiles imposes strict requirements for inkjet printing technology.