An Efficient Image Fusion Method For Fusion of Low Resolution Infrared And

Due to the fast development of digital image processing the growth of feature extraction of images which leads to the development of image fusion. The process of co retaining salient features from each image with extended information content is known as image fusion, wherein the resultant fused image will be more informative and complete than any of the input ima fusion are spatial fusion and transform fusion. In this paper I proposed an image fusion method for fusion of low resolution infrared camera image with visual image, the focus of this paper is to propose an efficient algorithm fuse a visual image and a corresponding low resolution IR image such a concealed weapon detection application. Discrete wavelet transform plays a vital role in image fusion since it minimizes structural distortions among the various other transforms. Lack of shift invariance, poor directional selectivity and the absence of phase information are the drawbacks of discrete wavelet transform. These drawbacks are overcome by dual tree complex wavelet transform. The fused image obtained by the proposed algorit incorporate any single image. The feasibility of the proposed fusion technique is tested and demonstrated by some experimental results in form of visual, mathematical output and various fusion assess noise ratio (SNR), peak signal to noise ratio (PSNR), root mean square error (RMSE) and correlation coefficient. Those outputs are compared with various popular image fusion