A Motion Estimation Algorithm Using DTCWT and ARPS

Abstract

Abstract. In this paper, a hybrid motion estimation algorithm utilizing the Dual Tree Complex Wavelet Transform (DTCWT) and the Adaptive Rood Pattern Search (ARPS) block is presented. The proposed algorithm first transforms each video sequence with DTCWT. The frame n of the video sequence is used as a reference input and the frame n+2 is used to find the motion vector. Next, the ARPS block search algorithm is carried out and followed by an inverse DTCWT. The motion compensation is then carried motion vector. The results show that PSNR can be improved for mobile device without depriving its quality. The proposed algorithm also takes less memory usage compared to the DCT is a hybrid wavelet-based motion estimation algorithm for mobile devices. Other contribution is the visual quality scoring system as used in section 6. Keywords: ARPS; DTCWT; mobile device; PSNR; video compression. IntroductionIn recent years, the transmission of multimedia content using mobile devices has become very popular. Teleconference, video streaming and digital television are just some examples of its applications. The demand for multimedia content via mobile devices is getting higher. Th result in heavier demands on the radio spectrum and hence, air bandwidth will remain a bottleneck. In this paper, a hybrid motion estimation algorithm utilizing the Dual Tree Complex Wavelet Transform (DTCWT) and the Adaptive Rood Pattern Search (ARPS) block is presented. The proposed algorithm first transforms each e with DTCWT. The frame n of the video sequence is used as a reference input and the frame n+2 is used to find the motion vector. Next, the ARPS block search algorithm is carried out and followed by an inverse DTCWT. The motion compensation is then carried out on each inversed frame n and motion vector. The results show that PSNR can be improved for mobile device without depriving its quality. The proposed algorithm also takes less memory usage compared to the DCT-based algorithm. The main contribution of this work based motion estimation algorithm for mobile devices. Other contribution is the visual quality scoring system as used in section 6. ARPS; DTCWT; mobile device; PSNR; video compression.e transmission of multimedia content using mobile devices has become very popular. Teleconference, video streaming and digital television are just some examples of its applications. The demand for multimedia content via mobile devices is getting higher. This will invariably result in heavier demands on the radio spectrum and hence, air bandwidth will Uncompressed video data usually need considerable data storage capacity and data transmission bandwidth. Furthermore, uncompressed video data can influence transmission time needed. Large space requirement, high computational cost, and long transmission time are only some problems in transmitting video or multimedia content. For example, transmitting a 5 minute PAL video via a modem at 56 kilobits per second would take about 91.2 hours e with DTCWT. The frame n of the video sequence is used as a reference...