Video compression and rate control methods based on the wavelet transform
Eric J. Balster · OhioLink ETD Center (Ohio Library and Information Network) · 2004
Wavelet-based image and video compression techniques have become popular areas in the research community.In March of 2000, the Joint Pictures Expert Group (JPEG) released JPEG2000.JPEG2000 is a wavelet-based image compression standard and predicted to completely replace the original JPEG standard.In the video compression field, a compression technique called 3D wavelet compression shows promise.Thus, wavelet-based compression techniques have received more attention from the research community.This dissertation involves further investigation of the wavelet transform in the compression of image and video signals, and a rate control method for real-time transfer of wavelet-based compressed video.A pre-processing algorithm based on the wavelet transform is developed for the removal of noise in images prior to compression.The intelligent removal of noise reduces the entropy of the original signal, aiding in compressibility.The proposed wavelet-based denoising method shows a computational speedup of at least an order of magnitude than previously established image denoising methods and a higher peak signal-to-noise ratio (PSNR).A video denoising algorithm is also included which eliminates both intra-and inter-frame noise.The inter-frame noise removal technique estimates the amount of motion in the image sequence.Using motion and noise level estimates, a video I would like to express my sincere gratitude to my advisor Professor Yuan F. Zheng for his constant encouragement, shrewd guidance, and financial support throughout my years at The Ohio State University (OSU).I have benefited from his expert technical knowledge in science and engineering and learned from his creative and novel solutions to many research problems.It has truly been an honor and a privilege to study under his guidance.I would also like to thank Professors Ashok K. Krishnamurthy and Steven B. Bibyk for serving on my committee and providing feedback on this dissertation.It has been my pleasure to work with my colleges in the Wavelet Research Group at OSU. Specifically I