{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:ZLFDXFJHWAX4I7KKCAJCA4AH5C","short_pith_number":"pith:ZLFDXFJH","canonical_record":{"source":{"id":"1602.01410","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-03T18:57:02Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"9171f469dd0727f5627070b2823a3180e869307a84aa4d844b40d4464a0442c7","abstract_canon_sha256":"d4b85b8f5ce6e03690634cafabfa1f5334e5b7eb1a1aae9468942e084bb879d7"},"schema_version":"1.0"},"canonical_sha256":"caca3b9527b02fc47d4a1012207007e8babe3bd8d696af2917dd63a2e8e6ba0f","source":{"kind":"arxiv","id":"1602.01410","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.01410","created_at":"2026-05-18T01:07:20Z"},{"alias_kind":"arxiv_version","alias_value":"1602.01410v2","created_at":"2026-05-18T01:07:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01410","created_at":"2026-05-18T01:07:20Z"},{"alias_kind":"pith_short_12","alias_value":"ZLFDXFJHWAX4","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"ZLFDXFJHWAX4I7KK","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"ZLFDXFJH","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:ZLFDXFJHWAX4I7KKCAJCA4AH5C","target":"record","payload":{"canonical_record":{"source":{"id":"1602.01410","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-03T18:57:02Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"9171f469dd0727f5627070b2823a3180e869307a84aa4d844b40d4464a0442c7","abstract_canon_sha256":"d4b85b8f5ce6e03690634cafabfa1f5334e5b7eb1a1aae9468942e084bb879d7"},"schema_version":"1.0"},"canonical_sha256":"caca3b9527b02fc47d4a1012207007e8babe3bd8d696af2917dd63a2e8e6ba0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:07:20.887308Z","signature_b64":"dUCaHwTpNPVFpjUdSSN92bSJ7PW5B8I44JdYjkVVDQJBBeMr7QHMnDtYcSp15tE0FWjgiAkSwuUJU7kyOOyaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"caca3b9527b02fc47d4a1012207007e8babe3bd8d696af2917dd63a2e8e6ba0f","last_reissued_at":"2026-05-18T01:07:20.886910Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:07:20.886910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.01410","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":"2026-05-18T01:07:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"izI4J3ogfuAPmHmofVrfo7dmgWLmWKk4C8bVHzhxxoV4Kj8zlH4uJSoM0bqSZ8+ibgaJbqSrX0QvRutajHQCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:59:41.468652Z"},"content_sha256":"6a322ecc00c3a1ba217d4898a795d58fabd2cf43eed2a7c528296bdf8c374350","schema_version":"1.0","event_id":"sha256:6a322ecc00c3a1ba217d4898a795d58fabd2cf43eed2a7c528296bdf8c374350"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:ZLFDXFJHWAX4I7KKCAJCA4AH5C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Framework for Fast Image Deconvolution with Incomplete Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CV","authors_text":"Jocelyn Chanussot, Jos\\'e Bioucas-Dias, Luis B. Almeida, Miguel Sim\\~oes","submitted_at":"2016-02-03T18:57:02Z","abstract_excerpt":"In image deconvolution problems, the diagonalization of the underlying operators by means of the FFT usually yields very large speedups. When there are incomplete observations (e.g., in the case of unknown boundaries), standard deconvolution techniques normally involve non-diagonalizable operators, resulting in rather slow methods, or, otherwise, use inexact convolution models, resulting in the occurrence of artifacts in the enhanced images. In this paper, we propose a new deconvolution framework for images with incomplete observations that allows us to work with diagonalized convolution opera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01410","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":"2026-05-18T01:07:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8aM/W9I5TsrL1M3JyIz7MTG5H0fNAC9S/cWrvu0LOPhXf4LFGGp6YpAq3umUPePNw5Ng2Uk8fKE4Ko9fFWJlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:59:41.468998Z"},"content_sha256":"c90c08a0367c648fbef3e41d73c1e85f6523f1a678cc946c9f62f2febf2bd2a0","schema_version":"1.0","event_id":"sha256:c90c08a0367c648fbef3e41d73c1e85f6523f1a678cc946c9f62f2febf2bd2a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C/bundle.json","state_url":"https://pith.science/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C/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":"2026-06-04T15:59:41Z","links":{"resolver":"https://pith.science/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C","bundle":"https://pith.science/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C/bundle.json","state":"https://pith.science/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZLFDXFJHWAX4I7KKCAJCA4AH5C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ZLFDXFJHWAX4I7KKCAJCA4AH5C","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":"d4b85b8f5ce6e03690634cafabfa1f5334e5b7eb1a1aae9468942e084bb879d7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-03T18:57:02Z","title_canon_sha256":"9171f469dd0727f5627070b2823a3180e869307a84aa4d844b40d4464a0442c7"},"schema_version":"1.0","source":{"id":"1602.01410","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.01410","created_at":"2026-05-18T01:07:20Z"},{"alias_kind":"arxiv_version","alias_value":"1602.01410v2","created_at":"2026-05-18T01:07:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01410","created_at":"2026-05-18T01:07:20Z"},{"alias_kind":"pith_short_12","alias_value":"ZLFDXFJHWAX4","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"ZLFDXFJHWAX4I7KK","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"ZLFDXFJH","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:c90c08a0367c648fbef3e41d73c1e85f6523f1a678cc946c9f62f2febf2bd2a0","target":"graph","created_at":"2026-05-18T01:07:20Z","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":"In image deconvolution problems, the diagonalization of the underlying operators by means of the FFT usually yields very large speedups. When there are incomplete observations (e.g., in the case of unknown boundaries), standard deconvolution techniques normally involve non-diagonalizable operators, resulting in rather slow methods, or, otherwise, use inexact convolution models, resulting in the occurrence of artifacts in the enhanced images. In this paper, we propose a new deconvolution framework for images with incomplete observations that allows us to work with diagonalized convolution opera","authors_text":"Jocelyn Chanussot, Jos\\'e Bioucas-Dias, Luis B. Almeida, Miguel Sim\\~oes","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-03T18:57:02Z","title":"A Framework for Fast Image Deconvolution with Incomplete Observations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01410","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":"sha256:6a322ecc00c3a1ba217d4898a795d58fabd2cf43eed2a7c528296bdf8c374350","target":"record","created_at":"2026-05-18T01:07:20Z","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":"d4b85b8f5ce6e03690634cafabfa1f5334e5b7eb1a1aae9468942e084bb879d7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-03T18:57:02Z","title_canon_sha256":"9171f469dd0727f5627070b2823a3180e869307a84aa4d844b40d4464a0442c7"},"schema_version":"1.0","source":{"id":"1602.01410","kind":"arxiv","version":2}},"canonical_sha256":"caca3b9527b02fc47d4a1012207007e8babe3bd8d696af2917dd63a2e8e6ba0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caca3b9527b02fc47d4a1012207007e8babe3bd8d696af2917dd63a2e8e6ba0f","first_computed_at":"2026-05-18T01:07:20.886910Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:07:20.886910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dUCaHwTpNPVFpjUdSSN92bSJ7PW5B8I44JdYjkVVDQJBBeMr7QHMnDtYcSp15tE0FWjgiAkSwuUJU7kyOOyaAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:07:20.887308Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.01410","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a322ecc00c3a1ba217d4898a795d58fabd2cf43eed2a7c528296bdf8c374350","sha256:c90c08a0367c648fbef3e41d73c1e85f6523f1a678cc946c9f62f2febf2bd2a0"],"state_sha256":"00faeef6f3048ff702da3d7dd77006b606195f311708cb5e4bbfab479c625a3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f8MNKd6SmkG/2K8n1RZ/ASl1YPkwRj/WDzvOu1wpIpzzYTeDyFzy3NAXkPJF3Y2nY1QQxmQZpK8w02VeMpcXAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T15:59:41.470998Z","bundle_sha256":"4e7e2cfaaac500e8bf4beeb94099116e2afea5f0218d4eb92acc5c86ff89de23"}}