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Possibility Theory and Rough Histograms for Motion Estimation in a Video Sequence.

, , and . IWVF, volume 2059 of Lecture Notes in Computer Science, page 473-483. Springer, (2001)

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Fuzzy morphology for omnidirectional images., and . ICIP (2), page 141-144. IEEE, (2005)Regularized selection: A new paradigm for inverse based regularized image reconstruction techniques., , , , and . ICIP, page 1637-1641. IEEE, (2017)Pixels-off: Data-augmentation Complementary Solution for Deep-learning Steganalysis., , , , and . IH&MMSec, page 39-48. ACM, (2020)A CNN adapted to time series for the classification of Supernovae., , , , , , and . Color Imaging: Displaying, Processing, Hardcopy, and Applications, page 1-9. Society for Imaging Science and Technology, (2019)LSSD: A Controlled Large JPEG Image Database for Deep-Learning-Based Steganalysis "Into the Wild"., , , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 470-483. Springer, (2020)Analysis of the Scalability of a Deep-Learning Network for Steganography "Into the Wild"., , , , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 439-452. Springer, (2020)High dynamic range images from digital cameras raw data., , , and . SIGGRAPH Posters, page 72. ACM, (2005)Rough Histograms for Robust Statistics., , and . ICPR, page 2684-2687. IEEE Computer Society, (2000)Fuzzy Approach of Motion Estimation., , and . FUZZ-IEEE, page 549-552. IEEE, (2001)A Study on the Invariance in Security Whatever the Dimension of Images for the Steganalysis by Deep-Learning., , and . ICASSP, page 1-5. IEEE, (2023)