Super-resolution in gray value based on OK quantization theory

Once the gray level quantization is applied to the image, analog value of the pixel can not be recovered in general. OK-quantization theory (OKQT) proposed a theoretical basis for the quantization from a view point of the restoration from digital to analog expressions of the probabilistic distribution function of the gray value. Theoretically guided by OKQT, a couple of methods for the super resolution in value were proposed in this paper by introducing a piecewise linear interpolation method and by introducing the sinc function interpolation method. The effectiveness of the proposed super resolution in value was experimentally demonstrated.