Quadtree-Based Image Decomposition in View of Image Compression

In social media and medical domain, huge image and video data transmission take place. So, it is necessary to use the bandwidth optimally by managing the image and video data. Image decomposition is, in general, used by the researchers in view of image compression. This paper presents the quadtree-based image decomposition approach in view of image compression. Generally, image pixel value or the gray level value is used as the threshold for further level decomposition. But, in this paper, the variance and the variance weight values are used for the further level image decomposition and termination of the quadtree. This approach is developed in view of singular value decomposition-based image compression. The presented quadtree-based image decomposition approach can be investigated for singular value decomposition-based image compression. Experimental results are compared based on the obtained blocks. This paper can be helpful for the beginners in the image compression and the image decomposition.