A detailed analysis on image distortion rectification system in various environments

Abstract

An Image is a picture that has been created or captured by the camera and stored in an electronic form. It can be represented in terms of vector graphics or raster graphics. Image processing is a method to perform various operations on an image, in order to get an enhanced image or to extract some useful information from it. Image distortion is one of the inevitable issue in the computer vision technology. Geometrical distortion is a major problem in computer vision platform. The geometrical distortion is defined as the deviation from the intended focal point. Generally, geometrical image distortions can be classified into three kinds and they are barrel, pincushion and moustache distortions. In case of barrel distortion, the intensification of the image reduces with respect to the distance from the optical axis. Conversely, in pincushion distortion, the intensification of the image increases with respect to the distance from the optical axis. The combination of both these distortions is named as moustache distortion. The distorted image appears different, when compared to the original images. This in turn reduces the quality and makes the process of image analysis even tougher. In addition to this, the accuracy rate of any image processing system may get affected by the distortion. In order to overcome the above problems, the distorted images have to be corrected by means of image processing techniques. However dealing with image distortion is highly challenging, as the image reconstruction activity should not alter the original image. newline