International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 8, Issue 5, May 2019, ISSN: 2278 – 1323 All Rights Reserved © 2019 IJARCET 171 RECONSTRUCTING AN IMAGE FROM MULTI EXPOSURE IMAGESFUSION USING PYRAMID TECHNIQUES Beeta Narayan Govt. Model Engineering College, Kochi Kerala Technical University Dr.Priya S Professor Department of Computer Science Govt. Model Engineering College Kerala Technical University Ms. Sheena K V Department of Computer Science Govt. Model Engineering College Kerala Technical University Abstract—A single sensor in a digital camera is insufficient to clearly record all the details in the scene because, some areas in the photo may appear so bright that details are washed out, i.e., over-exposed and other portions may appear so dark that details can hardly be seen, i.e., under-exposed. This pave path for development of multiexposure image fusion. A method for combining multi-exposed images that can operate on digital cameras. When photographers take a picture that comprises shadows or highlighted areas, they are faced with the challenge of setting the appropriate exposure. Fortunately, modern digital cameras and smartphones provide a high- dynamic range (HDR) mode to resolve this problem by fusing multi-exposed images of the same scene.This is the process of combining information from two or more image of a scene into a single composite image that is more informative and more suitable for computer vision and computer processing.The objective is to reduce uncertainty and minimize redundancy in the output and maximizing the relevant information to an particular application or task. Keywords: Multi-exposure Image, Image Fusion, Pyramid Techniques, Laplacian pyramid, Gaussian Pyramid, Morpho- logical pyramid . 1. Introduction Image fusion includes two sources of images,one ob- tained by different sensors, and the other taken under the same exposure time of the same sensor. The image fusion system includes pixel layer fusion, feature layer fusion and decision layer fusion.Image fusion is the process of combining relevant information from two or more images into a single image.Image fusion techniques are widely used in various applications such as remote sensing, medical imaging, military and astronomy. Image fusion is a process of combining two or more images to enhance the information content. Image fusion techniques are important as it improves the performance of object recognition systems by integrating many sources of satellite,airborne and ground based imaging systems with other related datasets. Further, it also helps in sharpening the images, improve geometric corrections, enhance certain features that are not visible in either of the images, replace the defective data, complement the data sets for better decision making. It combines the significant information from two or more source images into a single resultant image that describes the scene better and retains useful information from the input images. 2. Multi Exposure Image Fusion multiple exposure is the superimposition of two or more exposures to create a single image, and double exposure has a corresponding meaning in respect of two images. The exposure values may or may not be identical to each other. A method for fusing multi-exposure images of a static scene taken by a stationary camera into an image with maximum information content is introduced. The method partitions the image domain into uniform blocks and for each block selects the image that contains the most information within that block. Figure 1. Example of Multiexposure Images 3. Application and Uses of Image Fusion Image fusion techniques are widely used in various applications such as: