image processingIn electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can 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.
Robert L. Libbey has written: 'Signal and image processing sourcebook' -- subject(s): Image processing, Signal processing
The signal processing hardware can be used for image processing also. DSP processors like TMS 6713 can be used in image processing also. The hardware is required for image capture also.
Jin-woo Eo has written: 'Multi-variate morphological filtering with applications to color image processing' -- subject(s): Image processing, Electric filters, Signal processing 'Mathematical morphology' -- subject(s): Mathematics, Filters (Mathematics), Image processing, Signal processing
Digital Image Processing is a type of Digital manipulation pertaining to pictures and video. "Photoshopping" a digital picture is an example of Digital Image Processing. Another example is what takes place in a digital camera when the image is captured on the image sensor and converted into a JPEG file to be saved on a memory card. Digital Signal Processing is a generic term for any manipulation of a Digitally encoded signal, such as Audio, Video, or Radio Signals. This also includes Digital Image Processing where there is a signal being sent from one part of a system to another, such as in a digital camera. There are Microprocessors that are specifically built to process digital signals known as "Digital Signal Processors" (or DSP's).
Signal processing's goals include many things, most importantly: sampling, quantization, noise reduction, image enhancement, image understanding, speech recognition, and video compression.
Frank Y. Shih has written: 'Image processing and pattern recognition' -- subject(s): Image processing, Signal processing, Pattern recognition systems
With DSP you can change, modify, study the properties of signals more easily than analog signal processing. You can do modulation, encryption, decryption, encoding, decoding, multiplexing, comparing etc
for finding convolution of periodic signals we use circular convolution
The fundamental components of digital image processing are computer-based algorithms. Digital image processing 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.
fpga work in 1-image processing 2-data mining 3-signal processing 4-embed system
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.