Volume 14 Number 3 (Mar. 2019)
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JCP 2019 Vol.14(3): 210-222 ISSN: 1796-203X
doi: 10.17706/jcp.14.3.210-222

Image Hashing Using DWT-CSLBP

Varsha Patil, Tanuja Sarode
TSEC, Univerity of Mumbai, Mumbai, India.
Abstract—Center Symmetric Local Binary Pattern (CSLBP) is widely used in texture and object detection, but its utilization in image hashing is still limited. Image hashing is a powerful technique to identify whether image content is changed or preserved. Two main issues in image hashing are its compact length and its robust discrimination power. To deal with these issues, a robust image hashing method is proposed by combining features of CSLBP and Discrete Wavelet Transform(DWT). CSLBP is applied on LL band of DWT for compact length hash. Discrimination power of hashing is enhanced by weigh factor which comprises information from all sub bands of 1-Level DWT. All sub-band images of 1-Level DWT is combined to form secondary image. Local statistical features like Standard Deviation and Magnitude Average are calculated to obtain local weight factor MASD (Magnitude Average and Standard Deviation). Weighted LL-CSLBP histogram is constructed using this weight factor. Experimental results are demonstrated with Receiver Operating Characteristics (ROC) and Normalized Hamming Distance (NHD). The results shows that, the proposed scheme is robust against content preserving operations and sensitive to malicious operations.

Index Terms—Authentication, image hashing, discrete wavelet transform (DWT), center symmetric local binary pattern (CSLBP), double bit quantization (DBQ).

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Cite: Varsha Patil, Tanuja Sarode, "Image Hashing Using DWT-CSLBP," Journal of Computers vol. 14, no. 3, pp. 210-222, 2019.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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