Title :
Research Denoising Method of Infrared Image of Building Energy Consumption Based on Total Variation
Author :
Yu Qin-yan ; Yang Ya-long ; Fang Qian-sheng ; Xiao-long, Wang ; Zhang Zhen-ya
Author_Institution :
Anhui Key Lab. of Intell. Building, Auhui Univ. of Archit., Hefei, China
Abstract :
The temperature of building wall is a critical parameter for building energy consumption analysis. Due to its high accuracy and operation convenience, Infrared Thermal Imager is widely used in monitoring building energy consumption. However, considering the low contrast and large noise of the Infrared Thermal Imager, an effective denoising process is necessary for further analysis of the building energy consumption. This paper presents an infrared image denoising method based on total variation equation, which is in favor of maintaining the image edge features and enhancing image clarity. In this case, the final infrared images can meet the requirements in the field of building energy-saving applications. The viability of the concept has been verified by corresponding experiments of monitoring building energy.
Keywords :
building management systems; energy consumption; image denoising; image enhancement; infrared imaging; building energy consumption analysis; image clarity enhancement; image edge features; infrared image denoising method; infrared thermal imager; research denoising method; total variation equations; Architecture; Buildings; Energy consumption; Laboratories; Monitoring; Noise reduction; TV; Building; Energy Consumption Monitoring; Infrared Image Processing; Total Variation Equations;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1147