Abstract
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently, super-resolution based video coding has emerged as an important research topic as the image resolution increases rapidly and the downsampling coding is very efficient for bit rate reduction. With the super-resolution algorithm, we can encode the input video with low resolution at lower bitrate and reconstruct a high resolution video efficiently at the decoder side. In this paper, a block adaptive super resolution based coding framework is proposed for video coding. In the proposed scheme, block adaptive downsampling and upsampling with super-resolution is selected based on the rate-distortion cost decision, where the distortion caused by super-resolution algorithm in the reconstruction process is also included. Experimental results show that the proposed scheme is very promising for high resolution coding.
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References
Battiato, S., Gallom, G., Stanco, F.: A locally-adaptive zooming algorithm for digital images. Image and Vision Computing 20(11), 805–812 (2002)
Jensen, K., Anastassiou, D.: Subpixel edge localization and the interpolation of still images. IEEE Trans. on Image Processing 4, 285–295 (1995)
Carrato, S., Ramponi, G., Marsi, S.: A simple edge-sensitive image interpolation filter. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 711–714 (1996)
Morse, B.S., Schwartzwald, D.: Isophote-based interpolation. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 227–231 (1998)
Wang, Q., Ward, R.: A new edge-directed image expansion scheme. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 899–902 (2001)
Zhang, L., Wu, X.: An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans. on Image Processing 15, 2226–2238 (2006)
Li, X., Orchard, M.T.: New edge-directed interpolation. IEEE Trans. Image Process. 10, 1521 (2001)
Asuni, N., Giachetti, A.: Accuracy improvements and artifacts removal in edge based image interpolation. In: Proc. 3rd Int. Conf. Computer Vision Theory and Applications, VISAPP 2008 (2008)
van Ouwerkerk, J.D.: Image super-resolution survey. Image and Vision Computing 24(10), 1039–1052 (2006)
Barreto, D., Alvarez, L.D., Abad, J.: Motion Estimation Techniques in Super-Resolution Image Reconstruction. A Performance Evaluation. In: Tsvetkov, M., Golev, V., Murtagh, F., Molina, R. (eds.) VIRTUAL OBSERVATORY: Plate Content Digitization, Archive Mining & Image Sequence Processing. Heron Press, Sofia (2005)
Ur, H., Gross, D.: Improved Resolution from Sub-pixel Shifted Pictures. CVGIP: Graphical Models and Image Processing 54, 181–186 (1992)
Alam, M.S., Bognar, J.G., Hardie, R.C., Yasuda, B.J.: Infrared Image Registration and High-Resolution Reconstruction using Multiple Translationally Shifted Aliased Video Frames. IEEE Trans. Instrum. Meas. 49, 915–923 (2000)
Nguyen, N., Milanfar, P.: An Efficient Wavelet-Based Algorithm for Image Superresolution. In: Proc. Int. Conf. Image Processing, vol. 2, pp. 351–354 (2000)
Callico, G.M., Nunez, A., Llopis, R.P., Sethuraman, R., de Beeck, M.O.: A Low-Cost Implementation of Super-Resolution Based on a Video Encoder. In: IEEE 28th Annual Conf. of the Industrial Elec. Society, November 2002, vol. 2, pp. 1439–1444 (2002)
Barreto, D., Alvarez, L.D., Molina, R., Katsaggelos, A.K., Callicó, G.M.: Region-Based Super-Resolution for Compression. Multidimensional Systems and Signal Processing 18(2-3), 59–81 (2007)
Lin, W., Dong, L.: Adaptive Downsampling to Improve Image Compression at Low Bit Rates. IEEE Transactions on Image Processing 15(9), 2513–2521 (2006)
Nguyen, V., Tan, Y., Lin, W.: Adaptive Downsampling/Upsampling for Better Video, Compression at Low Bit Rate. In: Proc. IEEE Int. Symposium on Circuits and Systems, May 2008, pp. 1624–1627 (2008)
Lin, L.: Video Bi-Rate Control with Spline Approximated Rate-Distortion Characteristics. Dissertation (May 1997)
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Ma, S., Zhang, L., Zhang, X., Gao, W. (2009). Block Adaptive Super Resolution Video Coding. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_101
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DOI: https://doi.org/10.1007/978-3-642-10467-1_101
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