3D Wavelet Transform for Video Sequence Processing

For video compression implementation, we can first perform a 3D wavelet transform on the video sequence, which converts the video data into frequency domain representation. This transformation typically involves applying wavelet filters along both spatial dimensions (x,y) and the temporal dimension (frame sequence), effectively separating video information into different frequency subbands. Following the transformation, we utilize the 3D SPIHT (Set Partitioning in Hierarchical Trees) compression coding and decoding technique to compress and decompress the transformed video data. The SPIHT algorithm efficiently organizes wavelet coefficients using hierarchical tree structures and bit-plane coding, prioritizing significant coefficients for optimal rate-distortion performance. This approach enables substantial reduction in video file size while maintaining critical video sequence information and visual quality through selective coefficient preservation and progressive transmission capabilities.