Abstract
Image resolution enhancement techniques are required in various multimedia systems for image generation and processing. The main problem is an artifact such as blurring in image resolution enhancement techniques. Specially, cloud image have important information which need resolution enhancement technique without image quality degradation. To solve the problem, we propose error estimation and image resolution enhancement algorithm using low level interpolation. The proposed method consists of the following elements: error computation, error estimation, error application. Our experiments obtained the average PSNR 1.11dB which is improved results better than conventional algorithm. Also we can reduce more than 92% computation complexity. The proposed algorithm may be helpful for applications such as satellite image and cloud image.
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Kim, WH., Kim, JN. (2010). Cloud Image Resolution Enhancement Method Using Loss Information Estimation. In: Kim, Th., Pal, S.K., Grosky, W.I., Pissinou, N., Shih, T.K., Ślęzak, D. (eds) Signal Processing and Multimedia. MulGraB SIP 2010 2010. Communications in Computer and Information Science, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17641-8_15
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DOI: https://doi.org/10.1007/978-3-642-17641-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17640-1
Online ISBN: 978-3-642-17641-8
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