Journal of Engineering, Computers & Applied Sciences (JEC&AS) ISSN No: 2319-5606 Volume 1, No.1, October 2012 _________________________________________________________________________________ 80 www.borjournals.com Blue Ocean Research Journals 80 Image Rotation Using Quad Tree Aashish Kumar , Lec. ECE Dept. Swami Vivekanand institute of Engneering & Technology, Ramnagar Banur ABSTRACT This paper presents a data structure based technique of rotating an image .The data structure used is Quad trees. In a Quad tree the Image can be represented using 2-d arrays .This array representation helps to rotate the image by changing the quadrants. The image can be rotated in clockwise and anti-clockwise direction. Firstly, the image is splittedupto a level so that a solid colored block remains at the end. Then, as per requirements the blocks are rotated and join to get the final image. INTRODUCTION TO IMAGE PROCESSING Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image- processing techniques involve treating the image as a two-dimensional signal and applying standard signal- processing techniques to it. a. Image Processing Elements Fig. 1 Fundamental Elements of Image Processing system Why do we need Image Processing? • Improvement of Pictorial information for human perception • Image processing for autonomous machine application • Efficient storage of Image • Faster &efficient Transmission over communication channels. n electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two- dimensional signal and applying standard signal- processing techniques to it. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging. TYPICAL OPERATIONS • Euclidean geometry transformations such as enlargement, reduction, and rotation • Color corrections such as brightness and contrast adjustments, color mapping, color balancing, quantization, or color translation to a different color space • Digital compositing or optical compositing (combination of two or more images), which is used in film-making to make a "matte" • Interpolation, demosaicing, and recovery of a full image from a raw image format using a Bayer filter pattern • Image registration, the alignment of two or more images • Image differencing and morphing • Image recognition, for example, may extract the text from the image using optical character