Image processing techniques

Image processing techniques are the basic building blocks of many image processing applications where images will be processed in order to extract important information. There are many techniques which can be used to process the ‘n’ images, identifying different patterns, segmentation, transforming images into desired formats etc. Even it is also possible to process real-time videos by dividing them into ‘f’ frames. Image enhancement, restoration, feature extraction, segmentation, linear filtering, pixelation, reducing the noise, compression & decompression etc. are the few image processing techniques which are discussed in this chapter.  These all tasks are very useful in automating the image processing tasks and retrieving important information.

Keywords: Compression, Detecting objects, Feature extraction, Image segmentation, restoration, Linear filtering, Neural networks, Noise reduction.