关键词: 图像超分辨率, 向量量化, 分形

Abstract: This paper presents a novel image super resolution method based on vector quantization.The idea is enlightened by the thought of fractal coding.The method uses learning algorithm to obtain the corresponding relationship between high frequency information and low frequency information of the single frame input image，and utilizes this relationship to add details at one octave above the spatial frequency in the input image in order to get the high resolution image.The method overcomes the shortcomings of traditional interpolation methods，which make image fuzzy because of smoothing images excessively，and preserve texture poor.The method is able to retrieve high frequency image details that are irretrievable when traditional interpolation methods are used.Experimental results show that this method performs better than traditional interpolation methods in terms of evaluations both objectively and subjectively.

Key words: image super resolution, vector quantization, fractal