{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9799102","patent":{"patent_number":"US-9799102","title":"Smoothing images using machine learning","assignee":null,"inventors":[],"filing_date":"2015-12-02T00:00:00.000Z","publication_date":"2017-10-24T00:00:00.000Z","cpc_codes":["G06T","G06F","G06N","G06T","G06T","G06V","G06V","G06N","G06N","G06N","G06T"],"num_claims":20,"abstract":"Smoothing images using machine learning is described. In one or more embodiments, a machine learning system is trained using multiple training items. Each training item includes a boundary shape representation and a positional indicator. To generate the training item, a smooth image is downscaled to produce a corresponding blocky image that includes multiple blocks. For a given block, the boundary shape representation encodes a blocky boundary in a neighborhood around the given block. The positional indicator reflects a distance between the given block and a smooth boundary of the smooth image. In one or more embodiments to smooth a blocky image, a boundary shape representation around a selected block is determined. The representation is encoded as a feature vector and applied to the machine learning system to obtain a positional indicator. The positional indicator is used to compute a location of a smooth boundary of a smooth image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Smoothing images using machine learning","description":"Smoothing images using machine learning is described. In one or more embodiments, a machine learning system is trained using multiple training items. Each training item includes a boundary shape repre","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9799102","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9799102","citation_suggestion":"Patentable. \"Smoothing images using machine learning\" (US-9799102). https://patentable.app/patents/US-9799102","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9799102","json":"https://patentable.app/api/llm-context/US-9799102","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:38:17.485Z"}