{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T22:40:41Z","timestamp":1651790441001},"reference-count":18,"publisher":"IGI Global","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"abstract":"<jats:p>The concept of Multi-Scale Transform (MST) based image de-noising methods is incorporated in this paper. The shortcomings of Fourier transform based methods have been improved using multi-scale transform, which help in providing the local information of non-stationary image at different scales which is indispensable for de-noising. Multi-scale transform based image de-noising methods comprises of Discrete Wavelet Transform (DWT), and Stationary Wavelet Transform (SWT). Both DWT and SWT techniques are incorporated for the de-noising of standard images. Further, the performance comparison has been noted by using well defined metrics, such as, Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) and Computation Time (CT). The result shows that SWT technique gives better performance as compared to DWT based de-noising technique in terms of both analytical and visual evaluation.<\/jats:p>","DOI":"10.4018\/ijmdem.2017070103","type":"journal-article","created":{"date-parts":[[2017,6,5]],"date-time":"2017-06-05T15:24:55Z","timestamp":1496676295000},"page":"42-54","source":"Crossref","is-referenced-by-count":0,"title":["Image Quality Improvement Using Shift Variant and Shift Invariant Based Wavelet Transform Methods"],"prefix":"10.4018","volume":"8","author":[{"given":"Sugandha","family":"Agarwal","sequence":"first","affiliation":[{"name":"Amity University Lucknow, Lucknow, India"}]},{"given":"O. P.","family":"Singh","sequence":"additional","affiliation":[{"name":"Amity University Lucknow, Lucknow, India"}]},{"given":"Deepak","family":"Nagaria","sequence":"additional","affiliation":[{"name":"Bundelkhand Institute of Engineering and Technology, Jhansi, India"}]},{"given":"Anil Kumar","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Amity University Lucknow, Lucknow, India"}]},{"given":"Shikha","family":"Singh","sequence":"additional","affiliation":[{"name":"Amity University Lucknow, Lucknow, India"}]}],"member":"2432","reference":[{"key":"IJMDEM.2017070103-0","unstructured":"Baraniuk, R. G. (1999). Optimal tree approximation with wavelets. Proc. SPIE Tech. Conf. 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