{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:45:47Z","timestamp":1760060747590,"version":"build-2065373602"},"reference-count":56,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T00:00:00Z","timestamp":1758412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Hunan Province Higher Education Teaching Reform Research Project","award":["HNJG-202401000727"],"award-info":[{"award-number":["HNJG-202401000727"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>This paper proposes a novel perceptual image hashing scheme that robustly combines global structural features with local texture information for image authentication. The method starts with image normalization and Gaussian filtering to ensure scale invariance and suppress noise. A saliency map is then generated from a color vector angle matrix using a frequency-tuned model to identify perceptually significant regions. Local Binary Pattern (LBP) features are extracted from this map to represent fine-grained textures, while rotation-invariant Zernike moments are computed to capture global geometric structures. These local and global features are quantized and concatenated into a compact binary hash. Extensive experiments on standard databases show that the proposed method outperforms state-of-the-art algorithms in both robustness against content-preserving manipulations and discriminability across different images. Quantitative evaluations based on ROC curves and AUC values confirm its superior robustness\u2013uniqueness trade-off, demonstrating the effectiveness of the saliency-guided fusion of Zernike moments and LBP for reliable image hashing.<\/jats:p>","DOI":"10.3390\/computers14090401","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T11:18:16Z","timestamp":1758539896000},"page":"401","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Perceptual Image Hashing Fusing Zernike Moments and Saliency-Based Local Binary Patterns"],"prefix":"10.3390","volume":"14","author":[{"given":"Wei","family":"Li","sequence":"first","affiliation":[{"name":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"},{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yajun","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4320-9846","authenticated-orcid":false,"given":"Kai","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"15377","DOI":"10.1109\/ACCESS.2020.2968154","article-title":"A Review of Hashing Methods for Multimodal Retrieval","volume":"8","author":"Cao","year":"2020","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"115713","DOI":"10.1016\/j.image.2019.115713","article-title":"Perceptual Hashing for Image Authentication: A Survey","volume":"81","author":"Du","year":"2020","journal-title":"Signal Process. Image Commun."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1109\/TIFS.2006.873601","article-title":"Robust and Secure Image Hashing","volume":"1","author":"Swaminathan","year":"2006","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_4","unstructured":"Fridrich, J., and Goljan, M. (2000, January 27\u201329). Robust Hash Functions for Digital Watermarking. Proceedings of the Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540), Las Vegas, NV, USA."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3452","DOI":"10.1109\/TIP.2006.881948","article-title":"Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs","volume":"15","author":"Monga","year":"2006","journal-title":"IEEE Trans. Image Process."},{"key":"ref_6","unstructured":"Venkatesan, R., Koon, S.-M., Jakubowski, M.H., and Moulin, P. (2000, January 10\u201313). Robust Image Hashing. Proceedings of the Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), Vancouver, BC, Canada."},{"key":"ref_7","unstructured":"M\u0131hcak, M.K., Venkatesan, R., and Kesal, M. (2002, January 2\u20134). Watermarking via Optimization Algorithms for Quantizing Randomized Statistics of Image Regions. Proceedings of the Annual Allerton Conference on Communication Control and Computing, Monticello, IL, USA."},{"key":"ref_8","first-page":"331","article-title":"Robust Image Hashing via Random Gabor Filtering and DWT","volume":"55","author":"Tang","year":"2018","journal-title":"Comput. Mater. Contin."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"6533","DOI":"10.1109\/TCE.2024.3474744","article-title":"Two Robust Perceptual Image Hashing Schemes Based on Discrete Wavelet Transform","volume":"70","author":"Hu","year":"2024","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1016\/j.sigpro.2009.05.016","article-title":"A Novel Image Hash Algorithm Resistant to Print\u2013Scan","volume":"89","author":"Wu","year":"2009","journal-title":"Signal Process."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.image.2011.04.007","article-title":"Robust Image Hash in Radon Transform Domain for Authentication","volume":"26","author":"Lei","year":"2011","journal-title":"Signal Process. Image Commun."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.dsp.2012.11.002","article-title":"Robust Image Hashing Using Non-Uniform Sampling in Discrete Fourier Domain","volume":"23","author":"Qin","year":"2013","journal-title":"Digit. Signal Process."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.dsp.2015.03.006","article-title":"Robust Hashing for Image Authentication Using Quaternion Discrete Fourier Transform and Log-Polar Transform","volume":"41","author":"Ouyang","year":"2015","journal-title":"Digit. Signal Process."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5102","DOI":"10.1016\/j.ijleo.2014.05.015","article-title":"Robust Image Hashing with Dominant DCT Coefficients","volume":"125","author":"Tang","year":"2014","journal-title":"Optik"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.cose.2016.07.006","article-title":"Robust Image Hashing via DCT and LLE","volume":"62","author":"Tang","year":"2016","journal-title":"Comput. Secur."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s11042-009-0437-y","article-title":"Lexicographical Framework for Image Hashing with Implementation Based on DCT and NMF","volume":"52","author":"Tang","year":"2011","journal-title":"Multimed. Tools Appl."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Yu, L., and Sun, S. (2006, January 18\u201320). Image Robust Hashing Based on DCT Sign. Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia, Pasadena, CA, USA.","DOI":"10.1109\/IIH-MSP.2006.264971"},{"key":"ref_18","first-page":"201","article-title":"Robust Image Hashing via CP Decomposition and DCT for Copy Detection","volume":"20","author":"Liang","year":"2024","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"ref_19","unstructured":"Sun, X., Pan, Z., and Bertino, E. (2019, January 26\u201328). Image Hashing Based on CS-LBP and DCT for Copy Detection. Proceedings of the Artificial Intelligence and Security, New York, NY, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"22083","DOI":"10.1007\/s11042-022-13349-2","article-title":"LWT-DCT Based Image Hashing for Image Authentication via Blind Geometric Correction","volume":"82","author":"Karsh","year":"2023","journal-title":"Multimed. Tools Appl."},{"key":"ref_21","first-page":"103578","article-title":"Robust Image Hashing Based on Multi-View Dimension Reduction","volume":"77","author":"Du","year":"2023","journal-title":"J. Inf. Secur. Appl."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"49325","DOI":"10.1109\/ACCESS.2021.3069045","article-title":"Perceptual Image Hashing Based on Three-Dimensional Global Features and Image Energy","volume":"9","author":"Yuan","year":"2021","journal-title":"IEEE Access"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Liu, Y., and Zhao, Y. (2024, January 19\u201321). Image Hashing Algorithm Based on Multidimensional Features and Spatial Structure. Proceedings of the 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL), Zhuhai, China.","DOI":"10.1109\/CVIDL62147.2024.10603927"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"26041","DOI":"10.1109\/ACCESS.2020.2970757","article-title":"Perceptual Image Hashing Based on Color Structure and Intensity Gradient","volume":"8","author":"Zhao","year":"2020","journal-title":"IEEE Access"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3907","DOI":"10.1109\/TMM.2020.3033118","article-title":"Learning to Hash with Dimension Analysis Based Quantizer for Image Retrieval","volume":"23","author":"Cao","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"ref_26","unstructured":"Kozat, S.S., Venkatesan, R., and Mihcak, M.K. (2004, January 24\u201327). Robust Perceptual Image Hashing via Matrix Invariants. Proceedings of the 2004 International Conference on Image Processing, ICIP\u201904, Singapore."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s00530-020-00696-z","article-title":"Robust and Fast Image Hashing with Two-Dimensional PCA","volume":"27","author":"Liang","year":"2021","journal-title":"Multimed. Syst."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TMI.2014.2361481","article-title":"Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval","volume":"34","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"19025","DOI":"10.1007\/s11042-020-08619-w","article-title":"Perceptual Image Hashing Based on Structural Fractal Features of Image Coding and Ring Partition","volume":"79","author":"Khelaifi","year":"2020","journal-title":"Multimed. Tools Appl."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.neucom.2018.04.057","article-title":"Image Hashing with Color Vector Angle","volume":"308","author":"Tang","year":"2018","journal-title":"Neurocomputing"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2178","DOI":"10.1049\/iet-ipr.2018.5661","article-title":"Robust Image Hashing Using Exact Gaussian\u2013Hermite Moments","volume":"12","author":"Hosny","year":"2018","journal-title":"IET Image Process."},{"key":"ref_32","unstructured":"Zhao, Y., and Wei, W. (2010, January 10\u201312). Perceptual Image Hash for Tampering Detection Using Zernike Moments. Proceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, Shanghai, China."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1145\/2978572","article-title":"Robust Hashing Based on Quaternion Zernike Moments for Image Authentication","volume":"12","author":"Ouyang","year":"2016","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"10041","DOI":"10.1109\/TMM.2024.3405660","article-title":"Perceptual Image Hashing Using Feature Fusion of Orthogonal Moments","volume":"26","author":"Li","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1049\/iet-ipr.2019.1157","article-title":"Robust Image Hashing with Visual Attention Model and Invariant Moments","volume":"14","author":"Tang","year":"2020","journal-title":"IET Image Process."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2609","DOI":"10.1007\/s11042-015-3225-x","article-title":"Robust Hashing for Image Authentication Using SIFT Feature and Quaternion Zernike Moments","volume":"76","author":"Ouyang","year":"2017","journal-title":"Multimed. Tools Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"40191","DOI":"10.1109\/JIOT.2024.3450728","article-title":"Effective Image Hashing with Deep and Moment Features for Content Authentication","volume":"11","author":"Yu","year":"2024","journal-title":"IEEE Internet Things J."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1145\/3696669","article-title":"Robust Hashing with Deep Features and Meixner Moments for Image Copy Detection","volume":"20","author":"Yu","year":"2024","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"ref_39","first-page":"106","article-title":"Efficient Image Hashing with Geometric Invariant Vector Distance for Copy Detection","volume":"15","author":"Liu","year":"2019","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. TOMM"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/MMUL.2024.3354998","article-title":"Perceptual Hashing with Deep and Texture Features","volume":"31","author":"Yu","year":"2024","journal-title":"IEEE Multimed."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"4523","DOI":"10.1109\/TCSVT.2020.3047142","article-title":"Perceptual Image Hashing for Content Authentication Based on Convolutional Neural Network with Multiple Constraints","volume":"31","author":"Qin","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Fang, Y., Zhou, Y., Li, X., Kong, P., and Qin, C. TMCIH: Perceptual Robust Image Hashing with Transformer-Based Multi-Layer Constraints. Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, Available online: https:\/\/dl.acm.org\/doi\/10.1145\/3577163.3595113.","DOI":"10.1145\/3577163.3595113"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.neunet.2022.09.028","article-title":"Robust Image Hashing for Content Identification through Contrastive Self-Supervised Learning","volume":"156","year":"2022","journal-title":"Neural Netw."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1963","DOI":"10.1109\/TIP.2011.2171698","article-title":"Robust Image Hashing Based on Random Gabor Filtering and Dithered Lattice Vector Quantization","volume":"21","author":"Li","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/34.55109","article-title":"Invariant Image Recognition by Zernike Moments","volume":"12","author":"Khotanzad","year":"1990","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/S0923-5965(00)00019-9","article-title":"A Region-Based Shape Descriptor Using Zernike Moments","volume":"16","author":"Kim","year":"2000","journal-title":"Signal Process. Image Commun."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"123001","DOI":"10.1088\/2040-8986\/ac9e08","article-title":"Zernike Polynomials and Their Applications","volume":"24","author":"Niu","year":"2022","journal-title":"J. Opt."},{"key":"ref_48","unstructured":"Dony, R.D., and Wesolkowski, S. (1999, January 9\u201312). Edge Detection on Color Images Using RGB Vector Angles. Proceedings of the Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411), Edmonton, AB, Canada."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Achanta, R., Hemami, S., Estrada, F., and Susstrunk, S. (2009, January 20\u201325). Frequency-Tuned Salient Region Detection. Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA.","DOI":"10.1109\/CVPRW.2009.5206596"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A Threshold Selection Method from Gray-Level Histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.patcog.2008.08.014","article-title":"Description of Interest Regions with Local Binary Patterns","volume":"42","author":"Schmid","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_52","first-page":"42","article-title":"Accurate Tools for Analyzing the Behavior of Impulse Noise Reduction Filters in Color Images","volume":"4","author":"Russo","year":"2013","journal-title":"J. Signal Inf. Process."},{"key":"ref_53","unstructured":"University of Southern California, Signal and Image Processing Institute (2025, January 20). USC-SIPI Image Database [Data Set]. University of Southern California. Available online: http:\/\/sipi.usc.edu\/database\/."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1117\/12.525375","article-title":"UCID: An Uncompressed Color Image Database","volume":"5307","author":"Schaefer","year":"2003","journal-title":"Proc. SPIE"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1097\/JTO.0b013e3181ec173d","article-title":"Receiver Operating Characteristic Curve in Diagnostic Test Assessment","volume":"5","author":"Mandrekar","year":"2010","journal-title":"J. Thorac. Oncol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/79.879339","article-title":"Watermarking Schemes Evaluation","volume":"17","author":"Petitcolas","year":"2000","journal-title":"IEEE Signal Process. Mag."}],"container-title":["Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-431X\/14\/9\/401\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:46:38Z","timestamp":1760035598000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-431X\/14\/9\/401"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,21]]},"references-count":56,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2025,9]]}},"alternative-id":["computers14090401"],"URL":"https:\/\/doi.org\/10.3390\/computers14090401","relation":{},"ISSN":["2073-431X"],"issn-type":[{"type":"electronic","value":"2073-431X"}],"subject":[],"published":{"date-parts":[[2025,9,21]]}}}