{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:FRIW6AKCYUDYJHXMFNFPTVISLO","short_pith_number":"pith:FRIW6AKC","schema_version":"1.0","canonical_sha256":"2c516f0142c507849eec2b4af9d5125bad71f1670223a242cdb9220f50b06c21","source":{"kind":"arxiv","id":"2410.22802","version":1},"attestation_state":"computed","paper":{"title":"Wavelet Burst Accumulation for turbulence mitigation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jerome Gilles, Stanley Osher","submitted_at":"2024-10-30T08:31:48Z","abstract_excerpt":"In this paper, we investigate the extension of the recently proposed weighted Fourier burst accumulation (FBA) method into the wavelet domain. The purpose of FBA is to reconstruct a clean and sharp image from a sequence of blurred frames. This concept lies in the construction of weights to amplify dominant frequencies in the Fourier spectrum of each frame. The reconstructed image is then obtained by taking the inverse Fourier transform of the average of all processed spectra. In this paper, we first suggest to replace the rigid registration step used in the original algorithm by a non-rigid re"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2410.22802","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-30T08:31:48Z","cross_cats_sorted":[],"title_canon_sha256":"f9fab063121753197b3d835cc190731bb2e43611bd017565c1b560a42c0b2c33","abstract_canon_sha256":"6cb86797eb2541c758902c9bec2444160503447f41a00ef9e2d186ab210b0592"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:36.284724Z","signature_b64":"nzJAw+4UsWBOlIEsLmlAtXdA77+fGAWZDsmEvZW9iYnijmWmypv8Whyo4a/LsNE3+rM7X4VI9FsdcmRcCAJlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c516f0142c507849eec2b4af9d5125bad71f1670223a242cdb9220f50b06c21","last_reissued_at":"2026-07-05T09:28:36.284308Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:36.284308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Wavelet Burst Accumulation for turbulence mitigation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jerome Gilles, Stanley Osher","submitted_at":"2024-10-30T08:31:48Z","abstract_excerpt":"In this paper, we investigate the extension of the recently proposed weighted Fourier burst accumulation (FBA) method into the wavelet domain. The purpose of FBA is to reconstruct a clean and sharp image from a sequence of blurred frames. This concept lies in the construction of weights to amplify dominant frequencies in the Fourier spectrum of each frame. The reconstructed image is then obtained by taking the inverse Fourier transform of the average of all processed spectra. In this paper, we first suggest to replace the rigid registration step used in the original algorithm by a non-rigid re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22802","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.22802/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2410.22802","created_at":"2026-07-05T09:28:36.284372+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.22802v1","created_at":"2026-07-05T09:28:36.284372+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22802","created_at":"2026-07-05T09:28:36.284372+00:00"},{"alias_kind":"pith_short_12","alias_value":"FRIW6AKCYUDY","created_at":"2026-07-05T09:28:36.284372+00:00"},{"alias_kind":"pith_short_16","alias_value":"FRIW6AKCYUDYJHXM","created_at":"2026-07-05T09:28:36.284372+00:00"},{"alias_kind":"pith_short_8","alias_value":"FRIW6AKC","created_at":"2026-07-05T09:28:36.284372+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO","json":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO.json","graph_json":"https://pith.science/api/pith-number/FRIW6AKCYUDYJHXMFNFPTVISLO/graph.json","events_json":"https://pith.science/api/pith-number/FRIW6AKCYUDYJHXMFNFPTVISLO/events.json","paper":"https://pith.science/paper/FRIW6AKC"},"agent_actions":{"view_html":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO","download_json":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO.json","view_paper":"https://pith.science/paper/FRIW6AKC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.22802&json=true","fetch_graph":"https://pith.science/api/pith-number/FRIW6AKCYUDYJHXMFNFPTVISLO/graph.json","fetch_events":"https://pith.science/api/pith-number/FRIW6AKCYUDYJHXMFNFPTVISLO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO/action/storage_attestation","attest_author":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO/action/author_attestation","sign_citation":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO/action/citation_signature","submit_replication":"https://pith.science/pith/FRIW6AKCYUDYJHXMFNFPTVISLO/action/replication_record"}},"created_at":"2026-07-05T09:28:36.284372+00:00","updated_at":"2026-07-05T09:28:36.284372+00:00"}