{ "_id": "6a20057cb401979e73446607", "Package": "hazer", "Title": "Identifying Foggy and Cloudy Images by Quantifying Haziness", "Version": "1.1.1", "Date": "2018-10-31", "Author": "Bijan Seyednasrollah", "Maintainer": "Bijan Seyednasrollah ", "Description": "Provides a set of functions to estimate haziness of an\nimage based on RGB bands. It returns a haze factor, varying\nfrom 0 to 1, a metric for fogginess and cloudiness. The package\nalso presents additional functions to estimate brightness,\ndarkness and contrast rasters of the RGB image. This package\ncan be used for several applications such as inference of\nweather quality data and performing environmental studies from\ninterpreting digital images.", "License": "AGPL-3 | file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "6.0.1.9000", "URL": "https://github.com/bnasr/hazer/", "BugReports": "https://github.com/bnasr/hazer/issues", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 10:41:14 UTC", "User": "root" }, "Repository": "https://bbcrown.r-universe.dev", "Date/Publication": "2018-11-01 15:20:03 UTC", "RemoteUrl": "https://github.com/cran/hazer", "RemoteRef": "HEAD", "RemoteSha": "e165c5163a76de2742763e6be00386dfaec3b10d", "MD5sum": "684850276fb5ce5d232bf22c5065cd90", "_user": "bbcrown", "_type": "src", "_file": "hazer_1.1.1.tar.gz", "_fileid": "d1beb8b8fc5669bbe277a4cb699706aa131a1d592519e7b7da95442f3911fd34", "_filesize": 2372087, "_sha256": "d1beb8b8fc5669bbe277a4cb699706aa131a1d592519e7b7da95442f3911fd34", "_created": 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