{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:BNIXGZ6LGFCCS3FTLFUZIPOTD2","short_pith_number":"pith:BNIXGZ6L","schema_version":"1.0","canonical_sha256":"0b517367cb3144296cb35969943dd31e92c33fd3e79544a15ee11b51d151d638","source":{"kind":"arxiv","id":"2302.13092","version":2},"attestation_state":"computed","paper":{"title":"JND-Based Perceptual Optimization For Learned Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Feng Ding, Jian Jin, Lili Meng, Weisi Lin","submitted_at":"2023-02-25T14:49:09Z","abstract_excerpt":"Recently, learned image compression schemes have achieved remarkable improvements in image fidelity (e.g., PSNR and MS-SSIM) compared to conventional hybrid image coding ones due to their high-efficiency non-linear transform, end-to-end optimization frameworks, etc. However, few of them take the Just Noticeable Difference (JND) characteristic of the Human Visual System (HVS) into account and optimize learned image compression towards perceptual quality. To address this issue, a JND-based perceptual quality loss is proposed. Considering that the amounts of distortion in the compressed image at "},"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":"2302.13092","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-02-25T14:49:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"1e793d1ac1a605ef6b782346ca7e8cd83252ffa080cf91a1bbcc9484e519877a","abstract_canon_sha256":"0bc545feaef8d9af669e1219d5a7a603fa0608148b4f726f2f72036a55d76ba0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:17.896442Z","signature_b64":"n4E3pRSRHGBrpWHUgqBkhzK6/TJU0/by/jXWTcXZ/LPCNLia4TbcwzwjrYgryMS/bpEoCbcmxlQS1dtA5U1cDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b517367cb3144296cb35969943dd31e92c33fd3e79544a15ee11b51d151d638","last_reissued_at":"2026-07-05T05:49:17.895983Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:17.895983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"JND-Based Perceptual Optimization For Learned Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Feng Ding, Jian Jin, Lili Meng, Weisi Lin","submitted_at":"2023-02-25T14:49:09Z","abstract_excerpt":"Recently, learned image compression schemes have achieved remarkable improvements in image fidelity (e.g., PSNR and MS-SSIM) compared to conventional hybrid image coding ones due to their high-efficiency non-linear transform, end-to-end optimization frameworks, etc. However, few of them take the Just Noticeable Difference (JND) characteristic of the Human Visual System (HVS) into account and optimize learned image compression towards perceptual quality. To address this issue, a JND-based perceptual quality loss is proposed. Considering that the amounts of distortion in the compressed image at "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.13092","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.13092/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2302.13092","created_at":"2026-07-05T05:49:17.896045+00:00"},{"alias_kind":"arxiv_version","alias_value":"2302.13092v2","created_at":"2026-07-05T05:49:17.896045+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.13092","created_at":"2026-07-05T05:49:17.896045+00:00"},{"alias_kind":"pith_short_12","alias_value":"BNIXGZ6LGFCC","created_at":"2026-07-05T05:49:17.896045+00:00"},{"alias_kind":"pith_short_16","alias_value":"BNIXGZ6LGFCCS3FT","created_at":"2026-07-05T05:49:17.896045+00:00"},{"alias_kind":"pith_short_8","alias_value":"BNIXGZ6L","created_at":"2026-07-05T05:49:17.896045+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.00373","citing_title":"Customizable ROI-Based Deep Image Compression","ref_index":16,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2","json":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2.json","graph_json":"https://pith.science/api/pith-number/BNIXGZ6LGFCCS3FTLFUZIPOTD2/graph.json","events_json":"https://pith.science/api/pith-number/BNIXGZ6LGFCCS3FTLFUZIPOTD2/events.json","paper":"https://pith.science/paper/BNIXGZ6L"},"agent_actions":{"view_html":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2","download_json":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2.json","view_paper":"https://pith.science/paper/BNIXGZ6L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2302.13092&json=true","fetch_graph":"https://pith.science/api/pith-number/BNIXGZ6LGFCCS3FTLFUZIPOTD2/graph.json","fetch_events":"https://pith.science/api/pith-number/BNIXGZ6LGFCCS3FTLFUZIPOTD2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2/action/storage_attestation","attest_author":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2/action/author_attestation","sign_citation":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2/action/citation_signature","submit_replication":"https://pith.science/pith/BNIXGZ6LGFCCS3FTLFUZIPOTD2/action/replication_record"}},"created_at":"2026-07-05T05:49:17.896045+00:00","updated_at":"2026-07-05T05:49:17.896045+00:00"}