hazer: Identifying Foggy and Cloudy Images by Quantifying Haziness

Provides a set of functions to estimate haziness of an image based on RGB bands. It returns a haze factor, varying from 0 to 1, a metric for fogginess and cloudiness. The package also presents additional functions to estimate brightness, darkness and contrast rasters of the RGB image. This package can be used for several applications such as inference of weather quality data and performing environmental studies from interpreting digital images.

Version: 1.1.1
Depends: R (≥ 3.3.0)
Suggests: jpeg, testthat, knitr, rmarkdown
Published: 2018-11-01
DOI: 10.32614/CRAN.package.hazer
Author: Bijan Seyednasrollah
Maintainer: Bijan Seyednasrollah <bijan.s.nasr at gmail.com>
BugReports: https://github.com/bnasr/hazer/issues
License: AGPL-3 | file LICENSE
URL: https://github.com/bnasr/hazer/
NeedsCompilation: no
Citation: hazer citation info
Materials: README NEWS
CRAN checks: hazer results


Reference manual: hazer.pdf
Vignettes: Detecting hazy images using hazer


Package source: hazer_1.1.1.tar.gz
Windows binaries: r-devel: hazer_1.1.1.zip, r-release: hazer_1.1.1.zip, r-oldrel: hazer_1.1.1.zip
macOS binaries: r-release (arm64): hazer_1.1.1.tgz, r-oldrel (arm64): hazer_1.1.1.tgz, r-release (x86_64): hazer_1.1.1.tgz, r-oldrel (x86_64): hazer_1.1.1.tgz
Old sources: hazer archive


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