Abstract
The orthogonal transform is mainly used in the video compression methods in order to concentrate energy on a part of coefficients without increasing the number of the coefficients after transform.
It is the main technique of the image compression to preserve the coefficients of transform with large energy.
Since the orthogonal transform has smaller number of bases than other transforms doesn't have the shift invariance, and as the result of it, the contour disappears after compression.
On the other hand, the contour can be expressed well by the use of the redundant transform with larger number of bases. However, it has been thought that this transform which increases the number of coefficients is unsuitable for compression.
Recently, Iterative Projection-Based Noise Shaping that reduces the coefficients by using projection has been developed and proposed as an effective technique to compress the image.
The authors will discuss the effectiveness that uses redundant transform for the video compression.
