{"doi":"10.1109/snpd.2007.154","title":"The Wavelet-based Contourlet Transform for Image Fusion","abstract":null,"journal":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","year":2007,"id":46722,"datarank":1.012489926359643,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"self_citation_contribution":0.32958368660043297,"citation_network_contribution":0.6829062397592099,"self_endowment_contribution":0.32958368660043297,"citer_contribution":0.6829062397592099,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":8,"citers_with_citation_signal":7,"citers_with_endowment":7,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":216242,"name":"Zong-gui Zhao","orcid":null,"position":1,"is_corresponding":false},{"id":216241,"name":"Lei Tang","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"The Wavelet-based Contourlet Transform for Image Fusion","abstract":"The wavelet-based Contourlet transform (WBCT) is a new directional transform. This transform uses the wavelet transform and the directional filter bank (DFB) to obtain a multiscale and multidirection decomposition of image. The wavelet transform and the DFB are non-redundant and perfect reconstruction. So the WBCT can be regarded as a non-redundant version of the Contourlet transform. A new image fusion scheme based on the WBCT was presented. Firstly, the WBCT is used to perform a multiscale and multidirection decomposition of each image. Then the WBCT coefficients of fused image are constructed using multiple operators according to different fusion rules. The experimental results show that this new fusion scheme is effective and the fused images are better than that of using the Laplacian pyramid transform, the wavelet transform and the Contourlet transform.","is_dataset_classified":null,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W2100921133","authors":[],"funders":[],"total_grants":0,"fwci":2.3705,"citation_percentile":0.89514879,"influential_citations":4,"citation_trend":[{"year":2012,"count":1},{"year":2019,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx5/4287452/4287630/04287651.pdf?arnumber=4287651","host_type":"publisher"},{"url":"https://doi.org/10.1109/snpd.2007.154","host_type":""}],"fields_of_study":["Advanced Image Fusion Techniques","Remote-Sensing Image Classification","Spectroscopy Techniques in Biomedical and Chemical Research","Computer Science"],"mesh_terms":[],"keywords":["Contourlet","Wavelet transform","Image fusion","Artificial intelligence","Harmonic wavelet transform","Second-generation wavelet transform","Stationary wavelet transform","Computer vision","Pattern recognition (psychology)","Lifting scheme","Wavelet packet decomposition","Computer science","Wavelet","Filter bank","Discrete wavelet transform","Image (mathematics)","Filter (signal processing)"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-13T03:53:57.459640Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}