Interpolation Based Initial Image for Fast Fractal Decoding

Краткое изложение: Fractal image decoding has been effectively accelerated by using the range-averaged image (RAI) as the initial image in decoding process, and only one iteration is needed to obtain the decoded image quality with acceptable quality. To further improve the decoded image quality while maintaining real-time decoding and acceptable decoded image quality, an interpolation based initial image (IBII) was proposed in this study. First, the main drawback of RAI was its obvious block artifact. To make RAI appear to be closer to natural images, IBII was proposed to make the initial image appear smoother and can better approximate the original image than RAI. Then, higher decoded image quality can be obtained with one iteration under specific decoding strategy. Experimental results show that the IBII based method can improve
the decoded image quality by 0.56-1.41dB in peak signal-to-noise ratio (PSNR) and by 0.0061-0.0173 in mean structural similarity (MSSIM).