{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:TNU6JSKRIAWTZY3GJDOFRLKLIA","short_pith_number":"pith:TNU6JSKR","schema_version":"1.0","canonical_sha256":"9b69e4c951402d3ce36648dc58ad4b4035607f73f7677a6f74e79600950d91fb","source":{"kind":"arxiv","id":"1308.4908","version":1},"attestation_state":"computed","paper":{"title":"A Unified Framework for Multi-Sensor HDR Video Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.MM"],"primary_cat":"cs.CV","authors_text":"Anders Ynnerman, Gerhard Bonnet, Joel Kronander, Jonas Unger, Stefan Gustavson","submitted_at":"2013-08-22T15:58:01Z","abstract_excerpt":"One of the most successful approaches to modern high quality HDR-video capture is to use camera setups with multiple sensors imaging the scene through a common optical system. However, such systems pose several challenges for HDR reconstruction algorithms. Previous reconstruction techniques have considered debayering, denoising, resampling (align- ment) and exposure fusion as separate problems. In contrast, in this paper we present a unifying approach, performing HDR assembly directly from raw sensor data. Our framework includes a camera noise model adapted to HDR video and an algorithm for sp"},"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":"1308.4908","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-08-22T15:58:01Z","cross_cats_sorted":["cs.GR","cs.MM"],"title_canon_sha256":"314e871756b440bd4d1fd0459a3714d9a5fa818bce740d154b98695f62930304","abstract_canon_sha256":"0f94533ae27cb6130d5e6071ee52754b43764f7fef758f1f74deac161f20a1d1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:15:19.433110Z","signature_b64":"zbQs9pmwBPVe3eJ9O5ZZ2Ol8ut4QNHix5LPauVCYdfDB/T0gS9Yq8a9x+v8rVkjtOlcgE77kmTFWoVqbd7FECg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b69e4c951402d3ce36648dc58ad4b4035607f73f7677a6f74e79600950d91fb","last_reissued_at":"2026-05-18T03:15:19.432274Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:15:19.432274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Unified Framework for Multi-Sensor HDR Video Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.MM"],"primary_cat":"cs.CV","authors_text":"Anders Ynnerman, Gerhard Bonnet, Joel Kronander, Jonas Unger, Stefan Gustavson","submitted_at":"2013-08-22T15:58:01Z","abstract_excerpt":"One of the most successful approaches to modern high quality HDR-video capture is to use camera setups with multiple sensors imaging the scene through a common optical system. However, such systems pose several challenges for HDR reconstruction algorithms. Previous reconstruction techniques have considered debayering, denoising, resampling (align- ment) and exposure fusion as separate problems. In contrast, in this paper we present a unifying approach, performing HDR assembly directly from raw sensor data. Our framework includes a camera noise model adapted to HDR video and an algorithm for sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.4908","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":""},"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":"1308.4908","created_at":"2026-05-18T03:15:19.432427+00:00"},{"alias_kind":"arxiv_version","alias_value":"1308.4908v1","created_at":"2026-05-18T03:15:19.432427+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.4908","created_at":"2026-05-18T03:15:19.432427+00:00"},{"alias_kind":"pith_short_12","alias_value":"TNU6JSKRIAWT","created_at":"2026-05-18T12:28:02.375192+00:00"},{"alias_kind":"pith_short_16","alias_value":"TNU6JSKRIAWTZY3G","created_at":"2026-05-18T12:28:02.375192+00:00"},{"alias_kind":"pith_short_8","alias_value":"TNU6JSKR","created_at":"2026-05-18T12:28:02.375192+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/TNU6JSKRIAWTZY3GJDOFRLKLIA","json":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA.json","graph_json":"https://pith.science/api/pith-number/TNU6JSKRIAWTZY3GJDOFRLKLIA/graph.json","events_json":"https://pith.science/api/pith-number/TNU6JSKRIAWTZY3GJDOFRLKLIA/events.json","paper":"https://pith.science/paper/TNU6JSKR"},"agent_actions":{"view_html":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA","download_json":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA.json","view_paper":"https://pith.science/paper/TNU6JSKR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1308.4908&json=true","fetch_graph":"https://pith.science/api/pith-number/TNU6JSKRIAWTZY3GJDOFRLKLIA/graph.json","fetch_events":"https://pith.science/api/pith-number/TNU6JSKRIAWTZY3GJDOFRLKLIA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA/action/storage_attestation","attest_author":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA/action/author_attestation","sign_citation":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA/action/citation_signature","submit_replication":"https://pith.science/pith/TNU6JSKRIAWTZY3GJDOFRLKLIA/action/replication_record"}},"created_at":"2026-05-18T03:15:19.432427+00:00","updated_at":"2026-05-18T03:15:19.432427+00:00"}