{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MVJRKVEZC7Q6G33DGKKS2XIRX2","short_pith_number":"pith:MVJRKVEZ","canonical_record":{"source":{"id":"1905.07709","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-19T08:41:51Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5fe1287a9fdaef67e32f1de1e65f97f6fa8e086eab2915e1d0a32d431b7d4b21","abstract_canon_sha256":"c0cb4193edbf9025cd4b85639fc67f72cf36a466b7195273763233310e621761"},"schema_version":"1.0"},"canonical_sha256":"655315549917e1e36f6332952d5d11bead1d864e4ff6f67abcfa1b8fe850b42c","source":{"kind":"arxiv","id":"1905.07709","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07709","created_at":"2026-05-17T23:45:08Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07709v2","created_at":"2026-05-17T23:45:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07709","created_at":"2026-05-17T23:45:08Z"},{"alias_kind":"pith_short_12","alias_value":"MVJRKVEZC7Q6","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"MVJRKVEZC7Q6G33D","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"MVJRKVEZ","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MVJRKVEZC7Q6G33DGKKS2XIRX2","target":"record","payload":{"canonical_record":{"source":{"id":"1905.07709","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-19T08:41:51Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5fe1287a9fdaef67e32f1de1e65f97f6fa8e086eab2915e1d0a32d431b7d4b21","abstract_canon_sha256":"c0cb4193edbf9025cd4b85639fc67f72cf36a466b7195273763233310e621761"},"schema_version":"1.0"},"canonical_sha256":"655315549917e1e36f6332952d5d11bead1d864e4ff6f67abcfa1b8fe850b42c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:08.851473Z","signature_b64":"pFI/irq3NQQF5rNaucQSnJim9sRhJVj2eq/t0aR2e9t+CQk6Okw3s0cqOfClZ+ehW9MRa9R0c6kiiJ5/YQCXCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"655315549917e1e36f6332952d5d11bead1d864e4ff6f67abcfa1b8fe850b42c","last_reissued_at":"2026-05-17T23:45:08.850788Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:08.850788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.07709","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":"2026-05-17T23:45:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t2xAcRmyFJaLmAOEdvCu4H8FCbhbBpG3KqyPedZx8EqR0iLVLobLuunElGUPCym0aw/C2k4m76d0s2d3FxuGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T23:31:38.463964Z"},"content_sha256":"d8ddaf3163cc641931bc62ef3f37c4cf27fedc78109707735f4a4eebb1c05dc1","schema_version":"1.0","event_id":"sha256:d8ddaf3163cc641931bc62ef3f37c4cf27fedc78109707735f4a4eebb1c05dc1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MVJRKVEZC7Q6G33DGKKS2XIRX2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Objective Evaluation Metric for image fusion based on Del Operator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Ali A. Kiaei, Hassan Khotanlou, Mahdi Abbasi, Paniz Kiaei, Yasin Bhrouzi","submitted_at":"2019-05-19T08:41:51Z","abstract_excerpt":"In this paper, a novel objective evaluation metric for image fusion is presented. Remarkable and attractive points of the proposed metric are that it has no parameter, the result is probability in the range of [0, 1] and it is free from illumination dependence. This metric is easy to implement and the result is computed in four steps: (1) Smoothing the images using Gaussian filter. (2) Transforming images to a vector field using Del operator. (3) Computing the normal distribution function ({\\mu},{\\sigma}) for each corresponding pixel, and converting to the standard normal distribution function"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07709","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":"2026-05-17T23:45:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q07WHpTb+ZzoI1jlmiva/t7Rx1SxEW8Tk8UeLEMRlE7Hf3b5ib8pAzcwpXBpCVbYXJ94yQ4Js3wt5e1nmKJ/BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T23:31:38.464333Z"},"content_sha256":"c0fda2749f800d91c273ffb96733846ee8e59a2014b48178a074cbc773d2cb6d","schema_version":"1.0","event_id":"sha256:c0fda2749f800d91c273ffb96733846ee8e59a2014b48178a074cbc773d2cb6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2/bundle.json","state_url":"https://pith.science/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2/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":"2026-06-02T23:31:38Z","links":{"resolver":"https://pith.science/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2","bundle":"https://pith.science/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2/bundle.json","state":"https://pith.science/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MVJRKVEZC7Q6G33DGKKS2XIRX2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MVJRKVEZC7Q6G33DGKKS2XIRX2","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":"c0cb4193edbf9025cd4b85639fc67f72cf36a466b7195273763233310e621761","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-19T08:41:51Z","title_canon_sha256":"5fe1287a9fdaef67e32f1de1e65f97f6fa8e086eab2915e1d0a32d431b7d4b21"},"schema_version":"1.0","source":{"id":"1905.07709","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07709","created_at":"2026-05-17T23:45:08Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07709v2","created_at":"2026-05-17T23:45:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07709","created_at":"2026-05-17T23:45:08Z"},{"alias_kind":"pith_short_12","alias_value":"MVJRKVEZC7Q6","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"MVJRKVEZC7Q6G33D","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"MVJRKVEZ","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:c0fda2749f800d91c273ffb96733846ee8e59a2014b48178a074cbc773d2cb6d","target":"graph","created_at":"2026-05-17T23:45:08Z","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 this paper, a novel objective evaluation metric for image fusion is presented. Remarkable and attractive points of the proposed metric are that it has no parameter, the result is probability in the range of [0, 1] and it is free from illumination dependence. This metric is easy to implement and the result is computed in four steps: (1) Smoothing the images using Gaussian filter. (2) Transforming images to a vector field using Del operator. (3) Computing the normal distribution function ({\\mu},{\\sigma}) for each corresponding pixel, and converting to the standard normal distribution function","authors_text":"Ali A. Kiaei, Hassan Khotanlou, Mahdi Abbasi, Paniz Kiaei, Yasin Bhrouzi","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-19T08:41:51Z","title":"An Objective Evaluation Metric for image fusion based on Del Operator"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07709","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:d8ddaf3163cc641931bc62ef3f37c4cf27fedc78109707735f4a4eebb1c05dc1","target":"record","created_at":"2026-05-17T23:45:08Z","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":"c0cb4193edbf9025cd4b85639fc67f72cf36a466b7195273763233310e621761","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-19T08:41:51Z","title_canon_sha256":"5fe1287a9fdaef67e32f1de1e65f97f6fa8e086eab2915e1d0a32d431b7d4b21"},"schema_version":"1.0","source":{"id":"1905.07709","kind":"arxiv","version":2}},"canonical_sha256":"655315549917e1e36f6332952d5d11bead1d864e4ff6f67abcfa1b8fe850b42c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"655315549917e1e36f6332952d5d11bead1d864e4ff6f67abcfa1b8fe850b42c","first_computed_at":"2026-05-17T23:45:08.850788Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:08.850788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pFI/irq3NQQF5rNaucQSnJim9sRhJVj2eq/t0aR2e9t+CQk6Okw3s0cqOfClZ+ehW9MRa9R0c6kiiJ5/YQCXCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:08.851473Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.07709","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8ddaf3163cc641931bc62ef3f37c4cf27fedc78109707735f4a4eebb1c05dc1","sha256:c0fda2749f800d91c273ffb96733846ee8e59a2014b48178a074cbc773d2cb6d"],"state_sha256":"e278b92f367b2f9fdbaa2c3c81edd1482f337fbc21edf22faa5e67647b2c0408"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G+5vmoHZ/4BCZO4g+UtareNOwok4Hpi8QBg5QLceF4GrrxGUidGxZetqRSf0CaQGvCFb0DlJhN+9nD2k4DgCBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T23:31:38.466269Z","bundle_sha256":"de856b8e5a860fa10dceeeb0237750790aed49c3d6f5ae9934f587ec4992c76f"}}