13-06-2012, 11:33 AM
Digital Image Compression Using Wavelet Transforms
[attachment=24279]
INTRODUCTION
With the growth of the multimedia technology over the past decades, the demand for digital information increases dramatically. This enormous demand poses difficulties for the current technology to handle. To overcome this problem the images can be compressed, so that the storage space and transmission time can be reduced.
There are three types of redundancy that can be identified as:
1.Spatial Redundancy i.e. correlation between neighboring pixel values.
2.Spectral Redundancy i.e. correlation between different color planes or spectral bands.
3.Temporal Redundancy i.e. correlation between adjacent frames in a sequence of images
Conclusion
The goal of image compression (i.e.) to save storage space and to reduce transmission time for image data can be effectively achieved by implementation using wavelet transforms.
[attachment=24279]
INTRODUCTION
With the growth of the multimedia technology over the past decades, the demand for digital information increases dramatically. This enormous demand poses difficulties for the current technology to handle. To overcome this problem the images can be compressed, so that the storage space and transmission time can be reduced.
There are three types of redundancy that can be identified as:
1.Spatial Redundancy i.e. correlation between neighboring pixel values.
2.Spectral Redundancy i.e. correlation between different color planes or spectral bands.
3.Temporal Redundancy i.e. correlation between adjacent frames in a sequence of images
Conclusion
The goal of image compression (i.e.) to save storage space and to reduce transmission time for image data can be effectively achieved by implementation using wavelet transforms.