{ "$schema": "/api/schemas/documents.schema.json", "apiVersion": "1.0.0", "generatedAt": "2026-07-09T21:16:49.031Z", "sourcePath": "src/main/data/docs", "docId": "10.5594-M00303", "document": { "abstract": "This paper presents an objective image quality metric based on a model of the human visual system. It essentially consists of two stages. Firstly, a multi-channel early vision model, tuned specifically for complex natural scenes, is used to determine the visibility of coding errors at each location in the scene. A model of visual attention is then used to identify regions of interest in the scene. This allows the visible errors to be weighted, depending on the perceptual importance of the region in which they occur. It is demonstrated that this technique produces a high correlation with subjective test data (0.93), compared to 0.87 when only the early vision model is used, and 0.65 for PSNR. A description of how this technique can be extended to video quality assessment is also included.", "abstract$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00303.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "authors": [ { "affiliation": "Measurement Business Division, Tektronix, Inc., Beaverton, Oregon", "name": "Wilfried Osberger" } ], "authors$meta": { "confidence": "high", "note": "Object form (schema 2.3.0) migrated from string form via migrateAuthorsToObjectForm.js; bio/affiliation backfilled from _source/SMPTE/HIGHWIRE/ NLM ++", "source": "parsed", "updated": "2026-06-23T00:04:25.562Z", "version": "authors-migrate-object-form@v1" }, "contentType": "orig-research", "contentType$meta": { "confidence": "high", "note": "Canonical-confirmed full paper (summary-abstract set is orig-research in the SMPTE canonical repos); HIGHWIRE-era abstract label was a delivery artifact", "originalValue": "summary-abstract", "source": "resolved", "updated": "2026-07-09T19:12:47.628Z", "version": "contenttype-fixes@v1" }, "copyright": { "holder": "Society of Motion Picture and Television Engineers, Inc.", "holder$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00303.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "year": "1998", "year$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00303.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" } }, "copyright$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00303.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docId": "10.5594-M00303", "docId$meta": { "confidence": "high", "note": "Derived from DOI 10.5594/M00303", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docLabel": "SMPTE Meetings and Conferences ( October 1998)", "docLabel$meta": { "confidence": "medium", "note": "Composed from venue title, volume/issue and date", "source": "inferred", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docTitle": "Assessing the Quality of Compressed Pictures Using a Perceptual Model", "docTitle$meta": { "confidence": "high", "note": "Parsed from NLM article XML (_source/SMPTE/HIGHWIRE/Source Bak/smptem/10.5594_M00303.xml)", "source": "parsed", "updated": "2026-05-22T21:44:19.125Z", "version": "smpte-conference-paper-nlm@v1" }, "docType": "Conference Paper", "docType$meta": { "confidence": "high", "note": "NLM
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