POOJA PRASENAN
M-Tech(AECS), Calicut University, Kerala, India
Download PDFA new method based on compressive sensing and resolution enhancement is proposed in this paper.This method initially compresses the image and then increases its resolution using DWT.Initially the image is compressed,so it eliminates the requirement of taking all the samples. The main purpose of this technique is that it eliminates the Nyquist criteria, that is, sampling frequency must be greater Compressive Sensing technique and it gives the best results in signal compression as it increases the PSNR and visual quality of the images as compared to existing techniques,then to this image again DWT is applied, in order to obtain sub-band images after whichbicubic interpolation of the high‐frequency sub-band images is done and the input image along with the interpolated compressed image is combined using IDWT. In order to achieve a sharper image.The proposed technique has been tested on various images. The quantitative PSNR (i.e peak signal-to-noise ratio) and visual results shows the superiority of the proposed technique based on DWT(discrete wavelet transform). The proposed technique is better compared with the state‐of‐art techniques.
Keywords: Discrete Wavelet Transform (DWT), image resolution enhancement, Compressive sensing, run length encoding, interpolation.
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