Text luminance modulation for hardcopy watermarking
Signal Processing
Neural network based method for image halftoning and inverse halftoning
Expert Systems with Applications: An International Journal
Speed up of the edge-based inverse halftoning algorithm using a finite state machine model approach
Computers & Mathematics with Applications
Iterated conditional modes for inverse dithering
Signal Processing
IEEE Transactions on Image Processing
An evolutionary approach to inverse gray level quantization
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Adaptive energy diffusion for blind inverse halftoning
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A new inverse halftoning method using reversible data hiding for halftone images
EURASIP Journal on Advances in Signal Processing
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
Improved inverse halftoning using vector and texture-lookup table-based learning approach
Expert Systems with Applications: An International Journal
Digital reconstruction of halftoned color comics
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
| Hi-index | 0.02 |
There has been a tremendous amount of research in the area of image halftoning, where the goal has been to find the most visually accurate representation given a limited palette of gray levels (often just two, black and white). This paper focuses on the inverse problem, that of finding efficient techniques for reconstructing high-quality continuous-tone images from their halftoned versions. The proposed algorithms are based on a maximum a posteriori (MAP) estimation criteria using a Markov random field (MRF) model for the prior image distribution. Image estimates obtained with the proposed model accurately reconstruct both the smooth regions of the image and the discontinuities along image edges. Algorithms are developed and example gray-level reconstructions are presented generated from both dithered and error-diffused halftone originals. Application of the technique to the problems of rescreening and the processing of halftone images are shown