Robust image hashing based on random Gabor filtering and dithered lattice vector quantization
In this paper, we propose a robust-hash function based on random Gabor filtering and dithered lattice vector quantization (LVQ). In order to enhance the robustness against rotation manipulations, the conventional Gabor filter is adapted to be rotation invariant, and the rotation-invariant filter is...
Saved in:
Main Authors: | Li, Yuenan., Lu, Zheming., Zhu, Ce., Niu, Xiamu. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/84794 http://hdl.handle.net/10220/13476 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Robust vector quantization for image transmission
by: Htein Lin.
Published: (2008) -
Texture segmentation using gabor filter
by: Neo, Siong Huat.
Published: (2008) -
Optimal gabor filter design for effective classification of images
by: Wang, Hai
Published: (2009) -
Gabor filtering-based feature extraction for pathological image analysis
by: Lim, Wei Ming.
Published: (2012) -
Reinterpreting the application of gabor filters as a manipulation of the margin in linear support vector machines
by: Ashraf A.B., et al.
Published: (2018)