Non-intrusive noise measuring on a television picture using spectrum analysis

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorJanse van Rensburg, Corneliusen_ZA
dc.date.accessioned2016-03-28T14:22:59Z
dc.date.available2016-03-28T14:22:59Z
dc.date.issued1991en_ZA
dc.description.abstractThe objective of this thesis is to develop a new measuring technique to measure noise on a television picture non-intrusively. Existing methods measure noise intrusively by injecting test signals into the system or using techniques which make use of lines outside the picture area. From a system point of view one may assume no prior knowledge about the picture characteristics. The only knowledge assumed is that the noise is uniformly spread over the picture. Contrary to this, we propose that we do know the characteristics of a typical television picture through system and viewer constraints. Through spectrum analysis it will be proved that a television picture can indeed be characterized. For it to be acceptable to the general viewing public, it has to have a spectrum that is rapidly decreasing with increasing frequency. In fact, at the highest frequencies the picture spectrum should be virtually non-existent. On the other hand, the noise spectrum which has a flat spectrum over the whole frequency range, is most detectable at the high-frequencies. Thus, the high-frequency power of a picture spectrum can be used to estimate the noise power in the picture. Because the noise spectrum is not perfectly flat, a least squares error estimation is made by averaging the high-frequency spectrum points into one noise power estimate. This implies an assumed white noise spectrum. A method to make this noise estimation more robust against high-frequency harmonics, due to structure in the picture, is to tessellate the image into sub-images. This is done in order to obtain a statistical estimation of noise from the picture, because the picture spectrum estimation is a statistical estimation. All the noise estimations of all the sub-images are used to build a histogram to determine a noise estimate for the whole picture. The noise measuring technique, the Two Dimensional Noise Measuring Technique (2DSMT) was developed in Turbo Pascal (version 5) to run on an IBM PC. A minimum run-time of 50 seconds was obtained when run on a 25MHz 80386 machine with a numeric co-processor. A problem encountered was when composite video was digitized in the framegrabber. Due to the frequency division multiplexing of the PAL color system, the high-frequency power is not primarily due to noise, but due to color information. Therefore the 2DSMT only works on monochrome input, which may be a decoded red, green or blue signal. The 2DSMT compared favorably with the existing analogue noise measuring techniques where a constant luminance signal is used as input. Furthermore, it compared well with a noise measuring technique developed during the testing operation which measured constant luminance areas on cartoon pictures.en_ZA
dc.identifier.apacitationJanse van Rensburg, C. (1991). <i>Non-intrusive noise measuring on a television picture using spectrum analysis</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/18226en_ZA
dc.identifier.chicagocitationJanse van Rensburg, Cornelius. <i>"Non-intrusive noise measuring on a television picture using spectrum analysis."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1991. http://hdl.handle.net/11427/18226en_ZA
dc.identifier.citationJanse van Rensburg, C. 1991. Non-intrusive noise measuring on a television picture using spectrum analysis. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Janse van Rensburg, Cornelius AB - The objective of this thesis is to develop a new measuring technique to measure noise on a television picture non-intrusively. Existing methods measure noise intrusively by injecting test signals into the system or using techniques which make use of lines outside the picture area. From a system point of view one may assume no prior knowledge about the picture characteristics. The only knowledge assumed is that the noise is uniformly spread over the picture. Contrary to this, we propose that we do know the characteristics of a typical television picture through system and viewer constraints. Through spectrum analysis it will be proved that a television picture can indeed be characterized. For it to be acceptable to the general viewing public, it has to have a spectrum that is rapidly decreasing with increasing frequency. In fact, at the highest frequencies the picture spectrum should be virtually non-existent. On the other hand, the noise spectrum which has a flat spectrum over the whole frequency range, is most detectable at the high-frequencies. Thus, the high-frequency power of a picture spectrum can be used to estimate the noise power in the picture. Because the noise spectrum is not perfectly flat, a least squares error estimation is made by averaging the high-frequency spectrum points into one noise power estimate. This implies an assumed white noise spectrum. A method to make this noise estimation more robust against high-frequency harmonics, due to structure in the picture, is to tessellate the image into sub-images. This is done in order to obtain a statistical estimation of noise from the picture, because the picture spectrum estimation is a statistical estimation. All the noise estimations of all the sub-images are used to build a histogram to determine a noise estimate for the whole picture. The noise measuring technique, the Two Dimensional Noise Measuring Technique (2DSMT) was developed in Turbo Pascal (version 5) to run on an IBM PC. A minimum run-time of 50 seconds was obtained when run on a 25MHz 80386 machine with a numeric co-processor. A problem encountered was when composite video was digitized in the framegrabber. Due to the frequency division multiplexing of the PAL color system, the high-frequency power is not primarily due to noise, but due to color information. Therefore the 2DSMT only works on monochrome input, which may be a decoded red, green or blue signal. The 2DSMT compared favorably with the existing analogue noise measuring techniques where a constant luminance signal is used as input. Furthermore, it compared well with a noise measuring technique developed during the testing operation which measured constant luminance areas on cartoon pictures. DA - 1991 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1991 T1 - Non-intrusive noise measuring on a television picture using spectrum analysis TI - Non-intrusive noise measuring on a television picture using spectrum analysis UR - http://hdl.handle.net/11427/18226 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18226
dc.identifier.vancouvercitationJanse van Rensburg C. Non-intrusive noise measuring on a television picture using spectrum analysis. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1991 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18226en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleNon-intrusive noise measuring on a television picture using spectrum analysisen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Eng)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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