Automatic detection of image impairments

Author

Du Toit, Thomas C. ; Lourens, Johannes G.

Author_Institution

Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa

fYear

1988

fDate

11-14 Apr 1988

Firstpage

1080

Abstract

Given only the sampled video image as input, methods to detect automatically image impairments that are visible to the eye are investigated by means of signal processing. The generalized classical cepstral approach is discussed, and thereafter specific investigations of the impairments. Sharpness of focus is measured using rise time properties of edges in the time domain. Echoes or ghosting are identified by investigating the power of the output of a variable correction filter. Top and bottom level signal saturation (also known as white level burning and black level crushing) is detected by grey level histograms

Keywords

computerised pattern recognition; computerised picture processing; time-domain analysis; automatic detection; black level crushing; echos; edges; focus sharpness; generalized classical cepstral approach; ghosting; grey level histograms; image impairments; image impairments detection; rise time properties; sampled video image; signal processing; signal saturation; time domain; variable correction filter; white level burning; Cepstral analysis; Cepstrum; Focusing; Fourier transforms; Frequency; Image edge detection; Layout; Low pass filters; Solids; Space vector pulse width modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196782

Filename

196782