Archive for the ‘Image Processing’ Category

Image processing has certainly brought visual world closer to programming world. In imaging science, image processing is form of signal processing for which the input is an image, such as a photograph or video; 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. The acquisition of images (producing the input image in the first place) is referred to as imaging. Here we will be particulary interested in Digital Image Processing. Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing.

So we have selected this particualar project to detect salient object in a static image. On future scope the project can be extended to detect salient object on video as well. The abstract for the project is mentioned below to provide you with some input regarding the project.