JPEG Encoder Using Digital Image Processing

This article deals with study techniques for reducing the storage required for saving an image, or the
bandwidth required for transmitting it. Image compression addresses the problem of reducing the amount of
data required to represent a digital image. The underlying basis of the reduction process is the removal of
redundant data. From a mathematical viewpoint, this amounts to transforming a 2-D pixel array into a
statistically uncorrelated data set. The transformation is applied prior to storage or transmission of the image.
In this paper implementation of basic jpeg compression using only basic matlab functions is pursued. This
includes going from a basic grayscale bitmap image all the way to a fully encoded jpeg file. Image compression
is reducing the amount of data required o represent a digital image. The principle objective of his project was
to present the theoretic foundation of digital image compression and to implement JPEG image compression.
HAAR transform is the technique used for compression of image in this JPEG encoder.