Infrared (IR) images have been used extensively for military and civilian purposes, in particular in dark conditions. High quality images are particularly needed in various applications, especially for the security and military environments. But various images, including IR images, almost cannot avoid various noises when they were born as noise sources are distributed almost everywhere. In our paper, in order to obtain a good quality of IR image, it proposes a novel denoising algorithm based on Cohen-Daubechies-Feauveau wavelets with the low-pass filters of the length 9 and 7 (CDF 9/7) wavelet transform. We also first applied the lifting structure to improve the drawbacks of a traditional wavelet transform. As the normal wavelet transform seems to be restricted and limited a class of opportunities for multi-scale representation of multi-dimensional signals to estimate noises and then remove the noises from original images. The final simulation results show that our proposed algorithm in this paper is much efficient in estimating and reducing noises from the images contaminated by multi noises, such as Gaussian noise, Poisson noise, and impulse (Salt& pepper) noise. Experimental results on several tests for infrared images by using this algorithm are presented, for example under the noise with = 0.2 and density = 20% cases, for mean square error (MSE) our method decreasing 83%; peak signal to noise ratio (PSNR) increasing 14% and mean of structural similarity (MSSIM) increasing 67% with the same conditions. Obviously, the results show our proposed algorithm significantly superior to other related methods.
|Title of host publication||Proceedings of The World Congress on Engineering : WCE 2013|
|Place of Publication||UK|
|Number of pages||6|
|Publication status||Published - 2013|
|Event||World Congress on Engineering 2013 - London, London, United Kingdom|
Duration: 3 Jul 2013 → 5 Jul 2013
|Name||Lecture Notes in Computer Science LNCS|
|Conference||World Congress on Engineering 2013|
|Period||3/07/13 → 5/07/13|
Huang, X., Islam, S. M. R., Liao, M., & Li, S. (2013). High quality infrared images with novel algorithm for multi-noises removal. In Proceedings of The World Congress on Engineering : WCE 2013 (Vol. III, pp. 2184-2189). (Lecture Notes in Computer Science LNCS; Vol. 3). UK: Springer.