PERFORMANCE IMPROVEMENT OF THERMAL IMAGES | ||||
| The International Conference on Electrical Engineering | ||||
| Article 67, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Page 1-13 PDF (706.83 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2006.33671 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Gouda Ismail Salama; Mohamed El-Said Ghoneimy; Wael Mohamed Yousf | ||||
| Abstract | ||||
| Abstract This paper describes and evaluates a number of techniques for reducing different types of noises which associated with the thermal images. These techniques are based on optical image filtering in both spatial domain and frequency domain. Filtering in both spatial domain and frequency domain are applied on different thermal images associated with three standard noises models encountered in most images as additive, multiplicative, and impulse noises with different variance. Also, Non-uniformity correction techniques are applied on several thermal images associated with Fixed Pattern Noise (FPN). The algorithms have been tested by using several real image data from existing infrared imaging systems with good results. Measuring criteria for performance evaluation of thermal images enhancement techniques as Peak Signal-to-Noise Ratio (PSNR), Signal-to-Noise Ratio (SNR) and Root Mean Square Error (RMSE) are used to ensure the vision observation of user to select the most suitable technique with highly performance evaluation. | ||||
| Keywords | ||||
| Thermal imagery; Image enhancement; Filtering; non-uniformity correction; performance evaluation | ||||
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