Digital halftoning
Digital halftones by dot diffusion
ACM Transactions on Graphics (TOG)
Digital halftoning with space filling curves
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
A simple and efficient error-diffusion algorithm
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Modern Digital Halftoning
Efficient model based halftoning using direct binary search
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
Optimized halftoning using dot diffusion and methods for inverse halftoning
IEEE Transactions on Image Processing
Halftoning via direct binary search using analytical and stochastic printer models
IEEE Transactions on Image Processing
Memory efficient error diffusion
IEEE Transactions on Image Processing
Tone-dependent error diffusion
IEEE Transactions on Image Processing
Model-based color halftoning using direct binary search
IEEE Transactions on Image Processing
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Dot diffusion is an efficient approach which utilizes concepts of block-wise and parallel-oriented processing to generate halftones. However, the block-wise nature of processing reduces image quality much more significantly as compared to error diffusion. In this work, four types of filters with various sizes are employed in co-optimization procedures with class matrices of size 8 × 8 and 16 × 16 to improve the image quality. The optimal diffused weighting and area are determined through simulations. Many well-known halftoning methods, some of which includes direct binary search (DBS), error diffusion, ordered dithering, and prior dot diffusion methods, are also included for comparisons. Experimental results show that the proposed dot diffusion achieved quality close to some forms of error diffusion, and additionally, superior to the well-known Jarvis and Stucki error diffusion and Mese's dot diffusion. Moreover, the inherent parallel processing advantage of dot diffusion is preserved, allowing us to reap higher executing efficiency than both DBS and error diffusion.