{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XZEJ5KYKMJNOOW743BNCPK5CND","short_pith_number":"pith:XZEJ5KYK","schema_version":"1.0","canonical_sha256":"be489eab0a625ae75bfcd85a27aba268d72c6178ecbdd8606952cb186b1c900a","source":{"kind":"arxiv","id":"1712.00043","version":1},"attestation_state":"computed","paper":{"title":"A Color Intensity Invariant Low Level Feature Optimization Framework for Image Quality Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Anup Basu, Frederic Dufaux, Irene Cheng, Navaneeth K. Kottayil","submitted_at":"2017-11-30T19:38:13Z","abstract_excerpt":"Image Quality Assessment (IQA) algorithms evaluate the perceptual quality of an image using evaluation scores that assess the similarity or difference between two images. We propose a new low-level feature based IQA technique, which applies filter-bank decomposition and center-surround methodology. Differing from existing methods, our model incorporates color intensity adaptation and frequency scaling optimization at each filter-bank level and spatial orientation to extract and enhance perceptually significant features. Our computational model exploits the concept of object detection and encap"},"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":"1712.00043","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-11-30T19:38:13Z","cross_cats_sorted":[],"title_canon_sha256":"bd5463b2805c85c0dcfb7d47d70080559cb3b9d15c5634608f99d291fe08cd1f","abstract_canon_sha256":"15620e39dd45b17fe5db37d81a51ec230c429b852f6cf01957bb1012e7b5f121"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:07.583196Z","signature_b64":"9xQnLT5Xq0VTGWvLX5nQKG0NMx8O7xRwC+JPCinsx5xb7SfSJ7rEmiNUsaZ8ZFAoj3AbOj+5A+YRoYuqA2VCBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be489eab0a625ae75bfcd85a27aba268d72c6178ecbdd8606952cb186b1c900a","last_reissued_at":"2026-05-18T00:29:07.582342Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:07.582342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Color Intensity Invariant Low Level Feature Optimization Framework for Image Quality Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Anup Basu, Frederic Dufaux, Irene Cheng, Navaneeth K. Kottayil","submitted_at":"2017-11-30T19:38:13Z","abstract_excerpt":"Image Quality Assessment (IQA) algorithms evaluate the perceptual quality of an image using evaluation scores that assess the similarity or difference between two images. We propose a new low-level feature based IQA technique, which applies filter-bank decomposition and center-surround methodology. Differing from existing methods, our model incorporates color intensity adaptation and frequency scaling optimization at each filter-bank level and spatial orientation to extract and enhance perceptually significant features. Our computational model exploits the concept of object detection and encap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00043","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1712.00043","created_at":"2026-05-18T00:29:07.582544+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.00043v1","created_at":"2026-05-18T00:29:07.582544+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00043","created_at":"2026-05-18T00:29:07.582544+00:00"},{"alias_kind":"pith_short_12","alias_value":"XZEJ5KYKMJNO","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XZEJ5KYKMJNOOW74","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XZEJ5KYK","created_at":"2026-05-18T12:31:56.362134+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/XZEJ5KYKMJNOOW743BNCPK5CND","json":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND.json","graph_json":"https://pith.science/api/pith-number/XZEJ5KYKMJNOOW743BNCPK5CND/graph.json","events_json":"https://pith.science/api/pith-number/XZEJ5KYKMJNOOW743BNCPK5CND/events.json","paper":"https://pith.science/paper/XZEJ5KYK"},"agent_actions":{"view_html":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND","download_json":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND.json","view_paper":"https://pith.science/paper/XZEJ5KYK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.00043&json=true","fetch_graph":"https://pith.science/api/pith-number/XZEJ5KYKMJNOOW743BNCPK5CND/graph.json","fetch_events":"https://pith.science/api/pith-number/XZEJ5KYKMJNOOW743BNCPK5CND/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND/action/storage_attestation","attest_author":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND/action/author_attestation","sign_citation":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND/action/citation_signature","submit_replication":"https://pith.science/pith/XZEJ5KYKMJNOOW743BNCPK5CND/action/replication_record"}},"created_at":"2026-05-18T00:29:07.582544+00:00","updated_at":"2026-05-18T00:29:07.582544+00:00"}