Discrete Wavelet Transform and Event-triggered Particle Swarm Optimization Approach for Infrared Image Enhancement
Keywords:
Infrared Image Enhancement, Discrete Wavelet Transform, Particle Swarm OptimizationAbstract
Infrared images suffer from low contrast and poor image quality mainly as a result of data collection and transmission. Conventional techniques used in infrared image enhancement have being reported with over enhancement and brightness distortion. This work proposes an infrared image enhancement technique based on discrete wavelet transform (DWT) and event-triggered particle swarm optimization (ETPSO). This technique will be implemented by first performing image preprocessing using Daubechies D4 filter, image transformation and enhancement based on discrete wavelet transform and finally brightness correction using event-triggered particle swarm optimization. The proposed algorithm was implemented on a dataset obtained from Dynamic Graphics Project laboratory database of infrared images and the output was put side by side with conventional approaches. A quantitative comparison shows that the proposed technique performs better with an average peak signal-to-noise ratio (PSNR) and discrete entropy (DE) values of 20.9 and 6.49 respectively
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