Copyright © 2018 Authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestrict- ed use, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Engineering & Technology, 7 (2.8) (2018) 432-435 International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET Research Paper Image enhancement with contrast coefficients using wavelet based image fusion P Pardhasaradhi*, B T P Madhav, G Lakshmi Sindhuja, K Sai Sreeram, M Parvathi, B Lokesh ALRC-R&D, Department of Electronic and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur, AP, India *Corresponding author E-mail: pspokkunuri@gmail.com Abstract The future is mainly focused on image brightness and the capacity that required storing the image. The sharp images provide better in- formation than the blur images. To overcome from the blurriness in the image, we use image enhancement techniques. Image fusion used to overcome information loss in the image. This paper is provided with image enhancement and fusion by applying wavelet transform technique. Wavelet transform is mainly used because due to its inherent property that is they are redundant and shift invariant. It trans- forms the image into different scales. Image enhancement will be decided based on the levels of transformation. Low contrast results from poor resolution, lack of dynamic range, wrong settings of sensor lens during acquisition and poor quality of cameras and sensors. To avoid the information loss there is an interesting solution that is for the pictures of the same image but focused on different regions. Then using image fusion concept, all images which are captured are combined to get a single image which contains the properties of both the source images. The image entropy is composed to determine the quality of the image. The paper shows the image fusion method for both multi-resolution and images captured at different temperatures. Keywords: DWT, image enhancement, image fusion, low contrast, multi- resolution images, wavelet transform. 1. Introduction Image enhancement is mainly focusing on processing an image in such a way that giving the output image better than the input im- age in the means of quality by improving the number of pixels.[1- 7]. This method works well for low contrast images, satellite im- ages, X-ray topographic images [8]. In other words this can be described as improving the attributes of the image to make it more. Enhancement doesn’t increase the inherent information of the data, but it increases the dynamic range of the chosen features so that they can be detected easily. Image enhancement methods can be either spatial or frequency domain techniques [8]. Spatial domain techniques are performed to the image plane itself and they are based on direct manipulation of pixels in an image. Frequency domain methods enhance an image by convoluting the image with a linear, Position invariant operator [8]. Image fusion became a challenging area for research in present years. Image fusion ap- plies in the areas like military, medical imaging, satellite imaging, remote sensing etc. The process of image fusion is to combine the information content of the same scene from two or more images. The image can be taken at different temperature conditions or with different cameras. So by combining those images we get a final- ized image containing the information of input images. Image fusion is of three types, which are pixel, feature and decision level. Comparing to this three methods pixel based is preferable because it preserves the original information of input image. So it is con- sidered as primary method for the image fusion. Image fusion based on Wavelet transform becomes an important research area according to the image fusion research which considers both mul- ti-scale and multi-resolution. Image fusion gains the visual or important information from the multiple images. So the resultant image con- tains the whole information that is the image contains all the in- formation of selected images or fusion images. The method of implementation is like [9]:- Fig. 1: Method of Implementation This paper gives the information about image enhancement using wavelet fusion method. And this method is applied to the various images like multi-resolution images, images captured at different temperature. The metrics is calculated for the resultant image. Finally the experiment results and conclusion is provided. 2. Wavelet Transform Wavelets are the functions of finite length and wavelets are a more general way to represent and analyze multi resolution images. By using wavelets we can remove the noise. Wavelet transform is a global mathematical analysis method, which has a good position capability in both time and frequency domains, which selects the appropriate frequency band adaptively based on the characteristics