Oct 1, 2015 · Abstract: Robustness and discrimination are two of the most important objectives in image hashing. We incorporate ring partition and ...
Robust Image Hashing With Ring Partition and Invariant Vector ...
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We conduct experiments to evaluate the efficiency with 250 color images, and demonstrate that the proposed hashing algorithm is robust at commonly used digital ...
Abstract: As well famed, In image hashing there are two important objectives robustness and discrimination. With the help of ring partition and invariant ...
Nov 21, 2016 · The ring partitioning technique converts a square image into a secondary image that makes the system rotation invariant. The PGNMF which is ...
Nov 21, 2016 · The ring partitioning technique converts a square image into a secondary image that makes the system rotation invariant. The PGNMF which is ...
Sep 1, 2020 · This paper presents a novel image hashing with low-rank representation (LRR) and ring partition. The proposed hashing finds the saliency map by ...
Dec 16, 2019 · In this article, a novel effective image hashing method is proposed based on geometric invariant vector distance in both spatial domain and ...
This paper designs an efficient image hashing with a ring partition and a nonnegative matrix factorization (NMF), which has both the rotation robustness and ...
Robustness is an important property of image hashing. Most of the existing hashing algorithms do not reach good robustness against large-angle rotation.
Jun 8, 2020 · In this paper, we design a new image hashing with compressed sensing (CS) and ordinal measures. This hashing method uses a visual attention ...