期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：5
页码：1512-1522
出版社：Journal of Theoretical and Applied
摘要：In this paper, three new algorithms have been proposed for resolution enhancement of different gray scale images. These algorithms were based on dual tree complex wavelet transform (DTCWT). Firstly, a reference image was converted to low resolution image. In the next step, this low resolution image was decomposed using DTCWT. Due to that, high sub-band and low sub-band images had been generated. High sub-band image was further processed for sharpness enhancement. Gaussian filter and Fast non local mean (NLM) filter were further used for generating super-resolution image. Contrast limited adaptive histogram equalization (CLAHE) was also used in two of the proposed algorithms. Results were simulated on MATLAB software. Qualitative analysis proves that the visual quality of the input image is improved. Quantitative analysis was also carried out in terms of peak signal-to-noise ratio (PSNR). The simulation results show that proposed algorithms are better than existing ones.
关键词：Resolution Enhancement; Contrast Enhancement; DTCWT; Gaussian Filter; Fast NLM Filter
