Image compression using Weighted Average and Least Significant Bit Elimination Approach

Image compression plays a very vital role in the transmission and storage of image information. The main aim of image compression is to represent an image in the smallest number of bits without losing the essential information content contained by an original image. The image compression techniques are used to trim down the file size. The Proposed method for image compression uses Outline detection, wavelet encoding and bit plane encoding. The outline detection is accomplished by determining the maximum gradient value of a pixel from its three adjacent pixels. Wavelet encoding is a weighted averaging and differencing scheme. Bit Plane Encoding uses the data as sets of significant bits: the most significant bit of each piece of data forms the first “bit plane�, the second most significant bit of each item forms the second bit plane, and so on. It allows the user to determine the quality of the compressed image during the compression process.