Data embedding into bilevel images using the error diffusion method

2002 ◽  
Vol 85 (11) ◽  
pp. 36-44 ◽  
Author(s):  
Takeshi Ogihara ◽  
Shin'ya Koide ◽  
Yukio Kaneda
Keyword(s):  
Diffusion Method ◽  
Error Diffusion ◽  
Data Embedding

Error diffusion method with optimized weighting coefficients for binary hologram generation

2019 ◽  
Vol 58 (20) ◽  
pp. 5547 ◽  
Author(s):  
Gao Yang ◽  
Shuming Jiao ◽  
Jung-Ping Liu ◽  
Ting Lei ◽  
Xiaocong Yuan
Keyword(s):  
Diffusion Method ◽  
Error Diffusion ◽  
Weighting Coefficients

scholarly journals Neugebauer Models for Color Error Diffusion Halftoning

2020 ◽  
Vol 6 (4) ◽  
pp. 23
Author(s):  
Kaiming Wu ◽  
Kohei Inoue ◽  
Kenji Hara
Keyword(s):  
Natural Extension ◽  
Design Criterion ◽  
Diffusion Method ◽  
Error Diffusion ◽  
Blue Color ◽  
Color Design ◽  
Color Version ◽  
Model Based ◽  
Color Error ◽  
Better Than

In this paper, we propose a method for halftoning color images based on an error diffusion technique, a color design criterion and Neugebauer models for expressing colors. For a natural extension of the conventional method for grayscale error diffusion to its color version, we first reformulate grayscale error diffusion with a one-dimensional Neugebauer model. Then we increase the dimension of the model to derive a color error diffusion method based on a three-dimensional Neugebauer model in RGB (red, green and blue) color space. Moreover, we propose a sparse Neugebauer model based on a color design criterion, or the minimal brightness variation criterion (MBVC), from which we derive a sparse Neugebauer model-based error diffusion method. Experimental results show that color halftone images produced by the proposed methods preserve the color contents in original continuous-tone images better than that by conventional color error diffusion methods. We also demonstrate that the proposed sparse method reduce halftone noise better than the state-of-the-art method based on MBVC.

Texture-aware Error Diffusion Algorithm for Multi-level Digital Halftoning

2020 ◽  
Vol 64 (5) ◽  
pp. 50410-1-50410-9
Author(s):  
Donghui Li ◽  
Takuma Kiyotomo ◽  
Takahiko Horiuchi ◽  
Midori Tanaka ◽  
Kaku Shigeta
Keyword(s):  
Digital Printing ◽  
Diffusion Method ◽  
Error Diffusion ◽  
Digital Halftoning ◽  
Halftone Image ◽  
Processing Theory ◽  
Raster Image ◽  
Continuous Tone ◽  
Multi Level ◽  
Halftone Images

Abstract Digital halftoning is a technique for converting a continuous-tone image into a quantized image to reproduce it on a digital printing device. Error diffusion (ED) is an algorithm that has proven to be effective for the halftoning process, and it has been widely applied to digital printing tasks. However, in images reproduced using conventional ED algorithms based on the signal processing theory, the texture of objects is often lost. In this study, we propose a texture-aware ED algorithm for multi-level digital halftoning. First, we generate multiple mapped images with different brightness levels through nonlinear transformation. For each mapped image, we adopt a texture-aware binary error diffusion method to obtain multiple halftone images. Finally, we generate a multi-level halftone image from the multiple halftone images. We test the algorithm on an actual printer, compare the results with those of the current raster image processor software and classical ED algorithms, and observe that our algorithm outputs better results.

Iterative Binarization of Digital Holograms Using Error Diffusion Method

2020 ◽  
Vol 56 (2) ◽  
pp. 205-211
Author(s):  
E. A. Kurbatova ◽  
V. G. Rodin ◽  
P. A. Cheremkhin
Keyword(s):  
Diffusion Method ◽  
Error Diffusion ◽  
Digital Holograms
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