A crisscross checking technique for tamper detection in halftone images
Journal of Systems and Software
Deringing cartoons by image analogies
ACM Transactions on Graphics (TOG)
An Inverse Halftoning Technique Using Modified Look-Up Tables
Fundamenta Informaticae
Neural network based method for image halftoning and inverse halftoning
Expert Systems with Applications: An International Journal
Inverse Halftoning Based on Bayesian Theorem
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Speed up of the edge-based inverse halftoning algorithm using a finite state machine model approach
Computers & Mathematics with Applications
Sharing a verifiable secret image using two shadows
Pattern Recognition
Iterated conditional modes for inverse dithering
Signal Processing
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
Look up table(LUT) method for halftone image watermarking
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Improved inverse halftoning using vector and texture-lookup table-based learning approach
Expert Systems with Applications: An International Journal
An Inverse Halftoning Technique Using Modified Look-Up Tables
Fundamenta Informaticae
A training-based method for reducing ringing artifact in BDCT-encoded images
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Color recovery of black-and-white halftoned images via categorized color-embedding look-up tables
Digital Signal Processing
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In this paper we propose look-up table (LUT) based methods for inverse halftoning of images. The LUT for inverse halftoning is obtained from the histogram gathered from a few sample halftone images and corresponding original images. The method is extremely fast (no filtering is required) and the PSNR and visual image quality achieved is comparable to the best methods known for inverse halftoning. The LUT inverse halftoning method does not depend on the specific properties of the halftoning method, and can be applied to any halftoning method. Then, an algorithm for template selection for LUT inverse halftoning is introduced. We demonstrate the performance of the LUT inverse halftoning algorithm on error diffused images and ordered dithered images. We also extend LUT inverse halftoning to color halftones