eng Ansari Education and Research Society Journal of Ultra Scientist of Physical Sciences August 2009 21 2 623 632 jusps-A 1232 article Pradeep Kumar Jaswal 1 D.S. Pathania 1 H. K.Grewal (drhkgewal@yahoo.com) 2 Sandeep Kumar Singlau00a0(sksingla@gndc.ac.in) 1 Department of Computer Science & Engineering Guru Nanak Dev Engineering College, Ludhiana (PUNJAB) -141106 (INDIA) Department of Computer Science & Engineering Shri Sukhmani Institute of Engg. & Technology, Dera Bassi - Punjab <p style="text-align: justify;">Image de-noising and restoration represent basic problems in image processing with many different applications including engineering, reconstruction of missing data during their transmission and enhancement of biomedical structures as well. This problem occurs also in filling-in blocks of missing or corrupted data. The paper presents the use of Wavelet transform in this area including its application for image decomposition and rejection of its components at first. The main part of the paper is then devoted to methods of restoration of missing image blocks by the search of similar structures of a given image in the Wavelet domain space and comparison of this approach with iterated Wavelet interpolation and predictive image modeling. Proposed methods are verified for simulated images and then applied for processing of magnetic resonance images.</p> https://www.ultrascientist.org/paper/1232/ Wavelet transform image de-noising restoration interpolation biomedical image processing.