
Image processing is the
science of processing an image to get certain details. Image
processing is a type of signal processing in which the input is an
image and output is either another image or parameters about the
image. Most image-processing techniques involve treating the image as
a two-dimensional signal and applying standard signal-processing
techniques to it.
In image processing an
image is an input and another image is an output. In image analysis
an image is the input and image dimensions are the output. In image
understanding the input is an image and the output is a detailed
description of the image.
An image may contain
sub-images sometimes referred to as regions-of-interest, ROIs, or
simply regions. In a sophisticated image processing system it should
be possible to apply specific image processing operations to selected
regions. 
The input for image
processing must be images in digitized format. This digitized format
consists of arrays of binary words each of finite length. For
digitization, the given image is sampled on a discrete grid and each
sample or pixel is quantized using a finite number of bits. The
digitized image is processed by a CPU. To display a digital image as
a scanned image, the image is first converted into analog signal. 
PLC Technologies offers
many IEEE projects in Image Processing. If you would like to do your
final year projects at PLC visit Image Processing Final Year Projects 2013/2014.
You can mail to info@plctechnologies.in
or call 044-42005050/60.