An Analysis of Digital Image Compression Technique in Image Processing

Abstract

Digital images are needed in various applications, such as transmission ofimages over communication channels varying widely in their bandwidths, display at different resolution depending on the resolution of a display device, etc. In this work, we are trying to do something different what they (Dugad and Ahuja) done in their algorithms for image compression. We arealso try to extend their approach and modified versions to images andstudied their performances at different level of compression for an image.The Discrete Cosine Transform (DCT) is an example of transform coding.The current JPEG standard uses the DCT as its basis. The relocates thehighest energies to the upper left corner of the image. The lesser energyor information is relocated into other areas. The DCT is fast. It can bequickly calculated and is best for images with smooth edges like photoswith human subjects. The Inverse Discrete Cosine Transform (IDCT) canbe used to retrieve the image from its transform representation.