Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The discrete wavelet transform (DWT) has several advantages in multi-resolution analysis and subband decomposition, which has been successfully used in image compression. ,  will extend the usage of DWT to video compression and focus on motion estimation (ME) and motion compensation (MC) in wavelet domain. The ME used in this paper is Low-Band-Shift Motion Estimation (LBSME) [1] and a novel MC in wavelet domain is proposed. With this novel method, ME/MC in wavelet domain now is comparable with ME/MC in spatial domain and the performance is superior to other ME/MC methods in wavelet domain.
['Ming Fai Fu', 'Oscar C. Au', 'Wing Cheong Chan']
I am writing a research paper on a idea Novel motion compensation for wavelet video coding using overlapping
[{"from": "human", "value": "I am writing a research paper on a idea Novel motion compensation for wavelet video coding using overlapping"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The discrete wavelet transform (DWT) has several advantages in multi-resolution analysis and subband decomposition, which has been successfully used in image compression. ,  will extend the usage of DWT to video compression and focus on motion estimation (ME) and motion compensation (MC) in wavelet domain. The ME used in this paper is Low-Band-Shift Motion Estimation (LBSME) [1] and a novel MC in wavelet domain is proposed. With this novel method, ME/MC in wavelet domain now is comparable with ME/MC in spatial domain and the performance is superior to other ME/MC methods in wavelet domain."}]