A crisscross checking technique for tamper detection in halftone images
Journal of Systems and Software
Inverse Halftoning Based on Bayesian Theorem
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Error-Diffused Image Security Improving Using Overall Minimal-Error Searching
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Sharing a verifiable secret image using two shadows
Pattern Recognition
Improved dot diffusion by diffused matrix and class matrix co-optimization
IEEE Transactions on Image Processing
New spatial measure for dispersed-dot halftoning assuring good point distribution in any density
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A gradient-based adaptive error diffusion method with edge enhancement
Expert Systems with Applications: An International Journal
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Unlike the error diffusion method, the dot diffusion method for digital halftoning has the advantage of pixel-level parallelism. However, the image quality offered by error diffusion is still regarded as superior to most of the other known methods. We show how the dot diffusion method can be improved by optimization of the so-called class matrix. By taking the human visual characteristics into account we show that such optimization consistently results in images comparable to error diffusion, without sacrificing the pixel-level parallelism. Adaptive dot diffusion is also introduced and then a mathematical description of dot diffusion is derived. Furthermore, inverse halftoning of dot diffused images is discussed and two methods are proposed. The first one uses projection onto convex sets (POCS) and the second one uses wavelets. Of these methods, the wavelet method does not make use of the knowledge of the class matrix. Embedded multiresolution dot diffusion is also discussed, which is useful for rendering at different resolutions and transmitting images progressively