Summary:
Researchers at the Ohio State University have developed a dynamic 3D wavelet transform system and method for compressing video including color or black and white signal. The method applies a so-called packed integer wavelet transform to individual video frames to generate wavelet coefficients in the spatial domain (x and y directions). As a result, it is possible to enjoy the video sent over the internet or stored on a computer with a small memory space and a narrow bandwidth. The current technology is subject to one major disadvantage; it generates block artifacts, especially at a high compression ratio and these artifacts significantly reduce the quality of the video. Wavelet transform is a promising new approach for image and video compression that has proven superior to the previous approach and significantly enhances video images.
Potential Applications:
For use in generating high quality video images using a limited amount of memory space and bandwidth.
Advantages:
- The wavelet transform is applied to the entire image; it thus avoids the block artifacts.
- The wavelet transform localizes signal characteristics in both the spatial and temporal domains and can most efficiently explore the spatial redundancy to achieve the highest compression ratio.
- The wavelet transform decomposes an image into a low resolution version of the image along with a series of enhancements that add fine details. Thus, the wavelet transform can support continuous rate scalibility.
