{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:GT3U5SM7L4UKT5WEVXAJ6INJ6C","short_pith_number":"pith:GT3U5SM7","schema_version":"1.0","canonical_sha256":"34f74ec99f5f28a9f6c4adc09f21a9f0a96d0aade2506ddc534074f9aa46f8a9","source":{"kind":"arxiv","id":"2305.05899","version":1},"attestation_state":"computed","paper":{"title":"Mobile Image Restoration via Prior Quantization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM","eess.IV"],"primary_cat":"cs.CV","authors_text":"Jinwen Zhou, Menghao Li, Shiqi Chen, Tingting Jiang, Yueting Chen","submitted_at":"2023-05-10T05:05:58Z","abstract_excerpt":"In digital images, the performance of optical aberration is a multivariate degradation, where the spectral of the scene, the lens imperfections, and the field of view together contribute to the results. Besides eliminating it at the hardware level, the post-processing system, which utilizes various prior information, is significant for correction. However, due to the content differences among priors, the pipeline that aligns these factors shows limited efficiency and unoptimized restoration. Here, we propose a prior quantization model to correct the optical aberrations in image processing syst"},"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":"2305.05899","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-10T05:05:58Z","cross_cats_sorted":["cs.MM","eess.IV"],"title_canon_sha256":"9b163173c9337ba425a99526832cdb817d1f18d1567719f9d266b5e77e6077df","abstract_canon_sha256":"bf6ce9763fa4e173463adac015bce8b9e39a185905a29cce20419e3482a37588"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:08:57.350571Z","signature_b64":"9RCZYPHC7/FjxnAc82f4Oh+pwe7pfQb4zlYTsIryssvEibRlVl2NEDyUrkxXpOiAFOzD8LkZSCuIkbxkFyEKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34f74ec99f5f28a9f6c4adc09f21a9f0a96d0aade2506ddc534074f9aa46f8a9","last_reissued_at":"2026-07-05T06:08:57.350147Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:08:57.350147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mobile Image Restoration via Prior Quantization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM","eess.IV"],"primary_cat":"cs.CV","authors_text":"Jinwen Zhou, Menghao Li, Shiqi Chen, Tingting Jiang, Yueting Chen","submitted_at":"2023-05-10T05:05:58Z","abstract_excerpt":"In digital images, the performance of optical aberration is a multivariate degradation, where the spectral of the scene, the lens imperfections, and the field of view together contribute to the results. Besides eliminating it at the hardware level, the post-processing system, which utilizes various prior information, is significant for correction. However, due to the content differences among priors, the pipeline that aligns these factors shows limited efficiency and unoptimized restoration. Here, we propose a prior quantization model to correct the optical aberrations in image processing syst"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.05899","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/2305.05899/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":"2305.05899","created_at":"2026-07-05T06:08:57.350212+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.05899v1","created_at":"2026-07-05T06:08:57.350212+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.05899","created_at":"2026-07-05T06:08:57.350212+00:00"},{"alias_kind":"pith_short_12","alias_value":"GT3U5SM7L4UK","created_at":"2026-07-05T06:08:57.350212+00:00"},{"alias_kind":"pith_short_16","alias_value":"GT3U5SM7L4UKT5WE","created_at":"2026-07-05T06:08:57.350212+00:00"},{"alias_kind":"pith_short_8","alias_value":"GT3U5SM7","created_at":"2026-07-05T06:08:57.350212+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/GT3U5SM7L4UKT5WEVXAJ6INJ6C","json":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C.json","graph_json":"https://pith.science/api/pith-number/GT3U5SM7L4UKT5WEVXAJ6INJ6C/graph.json","events_json":"https://pith.science/api/pith-number/GT3U5SM7L4UKT5WEVXAJ6INJ6C/events.json","paper":"https://pith.science/paper/GT3U5SM7"},"agent_actions":{"view_html":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C","download_json":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C.json","view_paper":"https://pith.science/paper/GT3U5SM7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.05899&json=true","fetch_graph":"https://pith.science/api/pith-number/GT3U5SM7L4UKT5WEVXAJ6INJ6C/graph.json","fetch_events":"https://pith.science/api/pith-number/GT3U5SM7L4UKT5WEVXAJ6INJ6C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C/action/storage_attestation","attest_author":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C/action/author_attestation","sign_citation":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C/action/citation_signature","submit_replication":"https://pith.science/pith/GT3U5SM7L4UKT5WEVXAJ6INJ6C/action/replication_record"}},"created_at":"2026-07-05T06:08:57.350212+00:00","updated_at":"2026-07-05T06:08:57.350212+00:00"}