{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:66TD6O4DZC34NNSADD6SHOOVKD","short_pith_number":"pith:66TD6O4D","canonical_record":{"source":{"id":"1503.00090","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-28T07:24:08Z","cross_cats_sorted":[],"title_canon_sha256":"09198bf245e4126aceedbbb17ba791c1bbf17409e1826c9a8abd5e3d45d16331","abstract_canon_sha256":"368ac17c26c0b437d124570277cf97c9a26c7c9106e9570a27efab6206a4ab9a"},"schema_version":"1.0"},"canonical_sha256":"f7a63f3b83c8b7c6b64018fd23b9d550e248fb72072c87ebe2aacf38206df961","source":{"kind":"arxiv","id":"1503.00090","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.00090","created_at":"2026-05-18T02:25:55Z"},{"alias_kind":"arxiv_version","alias_value":"1503.00090v1","created_at":"2026-05-18T02:25:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.00090","created_at":"2026-05-18T02:25:55Z"},{"alias_kind":"pith_short_12","alias_value":"66TD6O4DZC34","created_at":"2026-05-18T12:29:07Z"},{"alias_kind":"pith_short_16","alias_value":"66TD6O4DZC34NNSA","created_at":"2026-05-18T12:29:07Z"},{"alias_kind":"pith_short_8","alias_value":"66TD6O4D","created_at":"2026-05-18T12:29:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:66TD6O4DZC34NNSADD6SHOOVKD","target":"record","payload":{"canonical_record":{"source":{"id":"1503.00090","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-28T07:24:08Z","cross_cats_sorted":[],"title_canon_sha256":"09198bf245e4126aceedbbb17ba791c1bbf17409e1826c9a8abd5e3d45d16331","abstract_canon_sha256":"368ac17c26c0b437d124570277cf97c9a26c7c9106e9570a27efab6206a4ab9a"},"schema_version":"1.0"},"canonical_sha256":"f7a63f3b83c8b7c6b64018fd23b9d550e248fb72072c87ebe2aacf38206df961","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:25:55.171600Z","signature_b64":"BL8qCtN6Xbt9gj4+yl8VL45aJOPLcP4jSS/W/TQN+Brs9N69P3fP1fV6n8S98ScxBe3AOAg3TZFlxXXIaPOUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7a63f3b83c8b7c6b64018fd23b9d550e248fb72072c87ebe2aacf38206df961","last_reissued_at":"2026-05-18T02:25:55.171198Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:25:55.171198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1503.00090","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:25:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MRS1crM++/5x3E3X6vrnOmjwnxPEMndnuh1H+vuJMq0WVp+r9aNxAosE7bMj5C8K9vglW5sdIiliUnIQyfGdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T11:20:34.491955Z"},"content_sha256":"e9d96697f9b7ccafa312238e8f8caf1d21710474c70b140979f9c8737b11ee78","schema_version":"1.0","event_id":"sha256:e9d96697f9b7ccafa312238e8f8caf1d21710474c70b140979f9c8737b11ee78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:66TD6O4DZC34NNSADD6SHOOVKD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improved Image Deblurring based on Salient-region Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bing Zhou, Chongyang Zhang, Jijia Li, Jun Xie, Wei Li, Weiyao Lin","submitted_at":"2015-02-28T07:24:08Z","abstract_excerpt":"Image deblurring techniques play important roles in many image processing applications. As the blur varies spatially across the image plane, it calls for robust and effective methods to deal with the spatially-variant blur problem. In this paper, a Saliency-based Deblurring (SD) approach is proposed based on the saliency detection for salient-region segmentation and a corresponding compensate method for image deblurring. We also propose a PDE-based deblurring method which introduces an anisotropic Partial Differential Equation (PDE) model for latent image prediction and employs an adaptive opt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.00090","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:25:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DvujmPaankI0naY2gOepq4s6bO4P4S/ApTB2Yjpn++VF346DRaaU5+LstMBDXc2kqDwQlvab/5k8u7LLvcuyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T11:20:34.492498Z"},"content_sha256":"10c6edc3f6c70521bd7168cd01de8214d7712ac78c44be439368f97656528f1b","schema_version":"1.0","event_id":"sha256:10c6edc3f6c70521bd7168cd01de8214d7712ac78c44be439368f97656528f1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66TD6O4DZC34NNSADD6SHOOVKD/bundle.json","state_url":"https://pith.science/pith/66TD6O4DZC34NNSADD6SHOOVKD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66TD6O4DZC34NNSADD6SHOOVKD/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":"2026-05-30T11:20:34Z","links":{"resolver":"https://pith.science/pith/66TD6O4DZC34NNSADD6SHOOVKD","bundle":"https://pith.science/pith/66TD6O4DZC34NNSADD6SHOOVKD/bundle.json","state":"https://pith.science/pith/66TD6O4DZC34NNSADD6SHOOVKD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66TD6O4DZC34NNSADD6SHOOVKD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:66TD6O4DZC34NNSADD6SHOOVKD","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":"368ac17c26c0b437d124570277cf97c9a26c7c9106e9570a27efab6206a4ab9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-28T07:24:08Z","title_canon_sha256":"09198bf245e4126aceedbbb17ba791c1bbf17409e1826c9a8abd5e3d45d16331"},"schema_version":"1.0","source":{"id":"1503.00090","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.00090","created_at":"2026-05-18T02:25:55Z"},{"alias_kind":"arxiv_version","alias_value":"1503.00090v1","created_at":"2026-05-18T02:25:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.00090","created_at":"2026-05-18T02:25:55Z"},{"alias_kind":"pith_short_12","alias_value":"66TD6O4DZC34","created_at":"2026-05-18T12:29:07Z"},{"alias_kind":"pith_short_16","alias_value":"66TD6O4DZC34NNSA","created_at":"2026-05-18T12:29:07Z"},{"alias_kind":"pith_short_8","alias_value":"66TD6O4D","created_at":"2026-05-18T12:29:07Z"}],"graph_snapshots":[{"event_id":"sha256:10c6edc3f6c70521bd7168cd01de8214d7712ac78c44be439368f97656528f1b","target":"graph","created_at":"2026-05-18T02:25:55Z","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":"Image deblurring techniques play important roles in many image processing applications. As the blur varies spatially across the image plane, it calls for robust and effective methods to deal with the spatially-variant blur problem. In this paper, a Saliency-based Deblurring (SD) approach is proposed based on the saliency detection for salient-region segmentation and a corresponding compensate method for image deblurring. We also propose a PDE-based deblurring method which introduces an anisotropic Partial Differential Equation (PDE) model for latent image prediction and employs an adaptive opt","authors_text":"Bing Zhou, Chongyang Zhang, Jijia Li, Jun Xie, Wei Li, Weiyao Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-28T07:24:08Z","title":"Improved Image Deblurring based on Salient-region Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.00090","kind":"arxiv","version":1},"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:e9d96697f9b7ccafa312238e8f8caf1d21710474c70b140979f9c8737b11ee78","target":"record","created_at":"2026-05-18T02:25:55Z","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":"368ac17c26c0b437d124570277cf97c9a26c7c9106e9570a27efab6206a4ab9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-02-28T07:24:08Z","title_canon_sha256":"09198bf245e4126aceedbbb17ba791c1bbf17409e1826c9a8abd5e3d45d16331"},"schema_version":"1.0","source":{"id":"1503.00090","kind":"arxiv","version":1}},"canonical_sha256":"f7a63f3b83c8b7c6b64018fd23b9d550e248fb72072c87ebe2aacf38206df961","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7a63f3b83c8b7c6b64018fd23b9d550e248fb72072c87ebe2aacf38206df961","first_computed_at":"2026-05-18T02:25:55.171198Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:25:55.171198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BL8qCtN6Xbt9gj4+yl8VL45aJOPLcP4jSS/W/TQN+Brs9N69P3fP1fV6n8S98ScxBe3AOAg3TZFlxXXIaPOUBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:25:55.171600Z","signed_message":"canonical_sha256_bytes"},"source_id":"1503.00090","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9d96697f9b7ccafa312238e8f8caf1d21710474c70b140979f9c8737b11ee78","sha256:10c6edc3f6c70521bd7168cd01de8214d7712ac78c44be439368f97656528f1b"],"state_sha256":"3297ae369e76791270e2b1597da0972eae02f2c37215e8bb4a445ac2a9560f19"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aX3fki14Q4bDysPMCV4rMTIbRzo+PWRdDgbpj1YsGLCwWj26AOTEpx78Z3QNmDlT326xgXq7d8V/XRjNe+2MCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T11:20:34.495836Z","bundle_sha256":"83fbe4b836cc432776534f684d3e40b39800d80686ee2468d6b4b3d94f6ea190"}}