{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QIDGER7DOJKRYRWAP44J27QJXQ","short_pith_number":"pith:QIDGER7D","schema_version":"1.0","canonical_sha256":"82066247e372551c46c07f389d7e09bc3cfb86f62b5efb66c387c631db7bddc1","source":{"kind":"arxiv","id":"2207.03081","version":1},"attestation_state":"computed","paper":{"title":"DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO","eess.IV"],"primary_cat":"cs.CV","authors_text":"In So Kweon, Kyunghyun Lee, Ukcheol Shin","submitted_at":"2022-07-07T04:34:05Z","abstract_excerpt":"In this paper, we propose a multi-objective camera ISP framework that utilizes Deep Reinforcement Learning (DRL) and camera ISP toolbox that consist of network-based and conventional ISP tools. The proposed DRL-based camera ISP framework iteratively selects a proper tool from the toolbox and applies it to the image to maximize a given vision task-specific reward function. For this purpose, we implement total 51 ISP tools that include exposure correction, color-and-tone correction, white balance, sharpening, denoising, and the others. We also propose an efficient DRL network architecture that c"},"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":"2207.03081","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-07T04:34:05Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","eess.IV"],"title_canon_sha256":"40cdbe0aeb14b448442070d8da2c76cd92bbb2c76f4e8897e5b6fbea9df81e1c","abstract_canon_sha256":"cba07cda5543ac5eb702433e7afac05fe9c27097f7b52d6508e3ef75322d1087"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:38:18.816838Z","signature_b64":"ge5P5LKXe56uWkbR1D83khJcxvAT3KyL6uK0/m9uu7duy4eC7vVfQS6kET449Pqyca8KJ6roapQ+PT9gThoYCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82066247e372551c46c07f389d7e09bc3cfb86f62b5efb66c387c631db7bddc1","last_reissued_at":"2026-07-05T04:38:18.816387Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:38:18.816387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO","eess.IV"],"primary_cat":"cs.CV","authors_text":"In So Kweon, Kyunghyun Lee, Ukcheol Shin","submitted_at":"2022-07-07T04:34:05Z","abstract_excerpt":"In this paper, we propose a multi-objective camera ISP framework that utilizes Deep Reinforcement Learning (DRL) and camera ISP toolbox that consist of network-based and conventional ISP tools. The proposed DRL-based camera ISP framework iteratively selects a proper tool from the toolbox and applies it to the image to maximize a given vision task-specific reward function. For this purpose, we implement total 51 ISP tools that include exposure correction, color-and-tone correction, white balance, sharpening, denoising, and the others. We also propose an efficient DRL network architecture that c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.03081","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.03081/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":"2207.03081","created_at":"2026-07-05T04:38:18.816445+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.03081v1","created_at":"2026-07-05T04:38:18.816445+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.03081","created_at":"2026-07-05T04:38:18.816445+00:00"},{"alias_kind":"pith_short_12","alias_value":"QIDGER7DOJKR","created_at":"2026-07-05T04:38:18.816445+00:00"},{"alias_kind":"pith_short_16","alias_value":"QIDGER7DOJKRYRWA","created_at":"2026-07-05T04:38:18.816445+00:00"},{"alias_kind":"pith_short_8","alias_value":"QIDGER7D","created_at":"2026-07-05T04:38:18.816445+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/QIDGER7DOJKRYRWAP44J27QJXQ","json":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ.json","graph_json":"https://pith.science/api/pith-number/QIDGER7DOJKRYRWAP44J27QJXQ/graph.json","events_json":"https://pith.science/api/pith-number/QIDGER7DOJKRYRWAP44J27QJXQ/events.json","paper":"https://pith.science/paper/QIDGER7D"},"agent_actions":{"view_html":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ","download_json":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ.json","view_paper":"https://pith.science/paper/QIDGER7D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.03081&json=true","fetch_graph":"https://pith.science/api/pith-number/QIDGER7DOJKRYRWAP44J27QJXQ/graph.json","fetch_events":"https://pith.science/api/pith-number/QIDGER7DOJKRYRWAP44J27QJXQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ/action/storage_attestation","attest_author":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ/action/author_attestation","sign_citation":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ/action/citation_signature","submit_replication":"https://pith.science/pith/QIDGER7DOJKRYRWAP44J27QJXQ/action/replication_record"}},"created_at":"2026-07-05T04:38:18.816445+00:00","updated_at":"2026-07-05T04:38:18.816445+00:00"}