Local Blur and Blocking Artifact Detection in Digital Images
Abstract: In this paper, we
will present a novel but simple unified method to locally detect blocking artifact
and blur in digital compressed image. Digital images are prone to coding
artifacts in terms of blur and blocking artifacts. Each of the distortion
mentioned above has different characteristics due to coding scheme applied to
the images. We present a local blur and blocking artifact detection based on
Haar Wavelet Transform analysis. We modeled ablurred edge as an edge which lose
its sharpness which its edge characteristics can be measured. We then modeled
the blocking artifacts as an Astep edge structure with low-tomoderate
transition in terms of intensities. By operating the Haar Wavelet Transform analysis
in edge domain, a local blocking artifact measurement can be derived. We
presentour experiments using LIVE Image Database Release 2.
Penulis: IRWAN PRASETYA
GUNAWAN, ANTONY HALIM
Kode Jurnal: jptkomputerdd080036
