{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OY3EBJ62X7WOKPP5PESX25J2II","short_pith_number":"pith:OY3EBJ62","canonical_record":{"source":{"id":"1805.12358","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-31T07:41:37Z","cross_cats_sorted":[],"title_canon_sha256":"933142b117be1b09f9a720faa1ac225e91eee46e2d68d20b577a8f2550fd9c8c","abstract_canon_sha256":"d9c05a03a0da3ec5973906a117680b49eb5b03a0f3730181ce27fe3fd6f884de"},"schema_version":"1.0"},"canonical_sha256":"763640a7dabfece53dfd79257d753a4211b2b656d7153d4c9078b55a96317329","source":{"kind":"arxiv","id":"1805.12358","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.12358","created_at":"2026-05-18T00:08:30Z"},{"alias_kind":"arxiv_version","alias_value":"1805.12358v2","created_at":"2026-05-18T00:08:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.12358","created_at":"2026-05-18T00:08:30Z"},{"alias_kind":"pith_short_12","alias_value":"OY3EBJ62X7WO","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OY3EBJ62X7WOKPP5","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OY3EBJ62","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OY3EBJ62X7WOKPP5PESX25J2II","target":"record","payload":{"canonical_record":{"source":{"id":"1805.12358","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-31T07:41:37Z","cross_cats_sorted":[],"title_canon_sha256":"933142b117be1b09f9a720faa1ac225e91eee46e2d68d20b577a8f2550fd9c8c","abstract_canon_sha256":"d9c05a03a0da3ec5973906a117680b49eb5b03a0f3730181ce27fe3fd6f884de"},"schema_version":"1.0"},"canonical_sha256":"763640a7dabfece53dfd79257d753a4211b2b656d7153d4c9078b55a96317329","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:30.938847Z","signature_b64":"w4E0fZzUAr7wdG7znibm8MN1xqPSP97VZFcvDYdOrqIVj8KHvZeun0CeRUT4DnJqtMjwbK1DvHYAJVrel6M2Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"763640a7dabfece53dfd79257d753a4211b2b656d7153d4c9078b55a96317329","last_reissued_at":"2026-05-18T00:08:30.938460Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:30.938460Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.12358","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:08:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HIsu0y0ghC5RDiDzAr1GeBImYhTXWhX0k7A1C1Zs31PZ39g2QL+Tnkfwqjnhz43J4ltOvpALgfvDEMHETsfwBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:57:57.146072Z"},"content_sha256":"fd466af9d8bb0624fef32cfcbf2e087fef58e5a7464fa46593447ee26fd8234d","schema_version":"1.0","event_id":"sha256:fd466af9d8bb0624fef32cfcbf2e087fef58e5a7464fa46593447ee26fd8234d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OY3EBJ62X7WOKPP5PESX25J2II","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Chen, Junhui Hou, Lap-Pui Chau","submitted_at":"2018-05-31T07:41:37Z","abstract_excerpt":"Light field (LF) cameras provide perspective information of scenes by taking directional measurements of the focusing light rays. The raw outputs are usually dark with additive camera noise, which impedes subsequent processing and applications. We propose a novel LF denoising framework based on anisotropic parallax analysis (APA). Two convolutional neural networks are jointly designed for the task: first, the structural parallax synthesis network predicts the parallax details for the entire LF based on a set of anisotropic parallax features. These novel features can efficiently capture the hig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.12358","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:08:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vj2G1SCABZIpOdK5/622UNyrG5Vezw8Y3tREdNELHL+dragyJSKbG/jKFKHaWu/4Z2404Wx3LwBlnqsh45tgAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:57:57.146430Z"},"content_sha256":"e4f752f97dd411e7afbbe80e88511925e9a2dfda6a398708fc6413de4adaf05e","schema_version":"1.0","event_id":"sha256:e4f752f97dd411e7afbbe80e88511925e9a2dfda6a398708fc6413de4adaf05e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OY3EBJ62X7WOKPP5PESX25J2II/bundle.json","state_url":"https://pith.science/pith/OY3EBJ62X7WOKPP5PESX25J2II/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OY3EBJ62X7WOKPP5PESX25J2II/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T18:57:57Z","links":{"resolver":"https://pith.science/pith/OY3EBJ62X7WOKPP5PESX25J2II","bundle":"https://pith.science/pith/OY3EBJ62X7WOKPP5PESX25J2II/bundle.json","state":"https://pith.science/pith/OY3EBJ62X7WOKPP5PESX25J2II/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OY3EBJ62X7WOKPP5PESX25J2II/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OY3EBJ62X7WOKPP5PESX25J2II","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d9c05a03a0da3ec5973906a117680b49eb5b03a0f3730181ce27fe3fd6f884de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-31T07:41:37Z","title_canon_sha256":"933142b117be1b09f9a720faa1ac225e91eee46e2d68d20b577a8f2550fd9c8c"},"schema_version":"1.0","source":{"id":"1805.12358","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.12358","created_at":"2026-05-18T00:08:30Z"},{"alias_kind":"arxiv_version","alias_value":"1805.12358v2","created_at":"2026-05-18T00:08:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.12358","created_at":"2026-05-18T00:08:30Z"},{"alias_kind":"pith_short_12","alias_value":"OY3EBJ62X7WO","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OY3EBJ62X7WOKPP5","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OY3EBJ62","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:e4f752f97dd411e7afbbe80e88511925e9a2dfda6a398708fc6413de4adaf05e","target":"graph","created_at":"2026-05-18T00:08:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Light field (LF) cameras provide perspective information of scenes by taking directional measurements of the focusing light rays. The raw outputs are usually dark with additive camera noise, which impedes subsequent processing and applications. We propose a novel LF denoising framework based on anisotropic parallax analysis (APA). Two convolutional neural networks are jointly designed for the task: first, the structural parallax synthesis network predicts the parallax details for the entire LF based on a set of anisotropic parallax features. These novel features can efficiently capture the hig","authors_text":"Jie Chen, Junhui Hou, Lap-Pui Chau","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-31T07:41:37Z","title":"Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.12358","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fd466af9d8bb0624fef32cfcbf2e087fef58e5a7464fa46593447ee26fd8234d","target":"record","created_at":"2026-05-18T00:08:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d9c05a03a0da3ec5973906a117680b49eb5b03a0f3730181ce27fe3fd6f884de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-31T07:41:37Z","title_canon_sha256":"933142b117be1b09f9a720faa1ac225e91eee46e2d68d20b577a8f2550fd9c8c"},"schema_version":"1.0","source":{"id":"1805.12358","kind":"arxiv","version":2}},"canonical_sha256":"763640a7dabfece53dfd79257d753a4211b2b656d7153d4c9078b55a96317329","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"763640a7dabfece53dfd79257d753a4211b2b656d7153d4c9078b55a96317329","first_computed_at":"2026-05-18T00:08:30.938460Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:30.938460Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w4E0fZzUAr7wdG7znibm8MN1xqPSP97VZFcvDYdOrqIVj8KHvZeun0CeRUT4DnJqtMjwbK1DvHYAJVrel6M2Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:30.938847Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.12358","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd466af9d8bb0624fef32cfcbf2e087fef58e5a7464fa46593447ee26fd8234d","sha256:e4f752f97dd411e7afbbe80e88511925e9a2dfda6a398708fc6413de4adaf05e"],"state_sha256":"dfa4ab72ba05a8fb26afc5082ca7aff33dd35169b9ac606c1942bcc98f074477"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JJFS13spPGaFVJcYN207car4T8EUPtYADIo3ErrbkCccH7VVaZxZF5FBK1EgFqcf63A7kBsOqOAoOKLIXPZuBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T18:57:57.148298Z","bundle_sha256":"1031bddb530d321092692610ce0f4db0de8308f91af183a2d869610f321f7e8a"}}