{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:G5UDU4J3XUKRDOMFC6F3GHW4HP","short_pith_number":"pith:G5UDU4J3","schema_version":"1.0","canonical_sha256":"37683a713bbd1511b985178bb31edc3bc2f7a5ef2f66bccb51ed5bc53e52734b","source":{"kind":"arxiv","id":"2007.00199","version":2},"attestation_state":"computed","paper":{"title":"Low-light Image Restoration with Short- and Long-exposure Raw Pairs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Huajun Feng, Meng Chang, Qi Li, Zhihai Xu","submitted_at":"2020-07-01T03:22:26Z","abstract_excerpt":"Low-light imaging with handheld mobile devices is a challenging issue. Limited by the existing models and training data, most existing methods cannot be effectively applied in real scenarios. In this paper, we propose a new low-light image restoration method by using the complementary information of short- and long-exposure images. We first propose a novel data generation method to synthesize realistic short- and longexposure raw images by simulating the imaging pipeline in lowlight environment. Then, we design a new long-short-exposure fusion network (LSFNet) to deal with the problems of low-"},"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":"2007.00199","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-07-01T03:22:26Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9f93cca8908ade1fe1cc99a7786655c610cbbb597747b9a96ce4957c488b2dad","abstract_canon_sha256":"9ff28797d5f8b9c742a243f90ef30162e4828396abac2037f64213732d82f4a6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:18:53.301770Z","signature_b64":"4I8daOwEE4cGAcU+S7X7/TUZc0vrsd+tcNAUqaiTPXa9znIutJrFniv+6cm574NJ97k1refI6Nqaj0FNQpBwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37683a713bbd1511b985178bb31edc3bc2f7a5ef2f66bccb51ed5bc53e52734b","last_reissued_at":"2026-07-05T02:18:53.301345Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:18:53.301345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low-light Image Restoration with Short- and Long-exposure Raw Pairs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Huajun Feng, Meng Chang, Qi Li, Zhihai Xu","submitted_at":"2020-07-01T03:22:26Z","abstract_excerpt":"Low-light imaging with handheld mobile devices is a challenging issue. Limited by the existing models and training data, most existing methods cannot be effectively applied in real scenarios. In this paper, we propose a new low-light image restoration method by using the complementary information of short- and long-exposure images. We first propose a novel data generation method to synthesize realistic short- and longexposure raw images by simulating the imaging pipeline in lowlight environment. Then, we design a new long-short-exposure fusion network (LSFNet) to deal with the problems of low-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.00199","kind":"arxiv","version":2},"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/2007.00199/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":"2007.00199","created_at":"2026-07-05T02:18:53.301402+00:00"},{"alias_kind":"arxiv_version","alias_value":"2007.00199v2","created_at":"2026-07-05T02:18:53.301402+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.00199","created_at":"2026-07-05T02:18:53.301402+00:00"},{"alias_kind":"pith_short_12","alias_value":"G5UDU4J3XUKR","created_at":"2026-07-05T02:18:53.301402+00:00"},{"alias_kind":"pith_short_16","alias_value":"G5UDU4J3XUKRDOMF","created_at":"2026-07-05T02:18:53.301402+00:00"},{"alias_kind":"pith_short_8","alias_value":"G5UDU4J3","created_at":"2026-07-05T02:18:53.301402+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/G5UDU4J3XUKRDOMFC6F3GHW4HP","json":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP.json","graph_json":"https://pith.science/api/pith-number/G5UDU4J3XUKRDOMFC6F3GHW4HP/graph.json","events_json":"https://pith.science/api/pith-number/G5UDU4J3XUKRDOMFC6F3GHW4HP/events.json","paper":"https://pith.science/paper/G5UDU4J3"},"agent_actions":{"view_html":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP","download_json":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP.json","view_paper":"https://pith.science/paper/G5UDU4J3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2007.00199&json=true","fetch_graph":"https://pith.science/api/pith-number/G5UDU4J3XUKRDOMFC6F3GHW4HP/graph.json","fetch_events":"https://pith.science/api/pith-number/G5UDU4J3XUKRDOMFC6F3GHW4HP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP/action/storage_attestation","attest_author":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP/action/author_attestation","sign_citation":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP/action/citation_signature","submit_replication":"https://pith.science/pith/G5UDU4J3XUKRDOMFC6F3GHW4HP/action/replication_record"}},"created_at":"2026-07-05T02:18:53.301402+00:00","updated_at":"2026-07-05T02:18:53.301402+00:00"}