Two New Efficient Iterative Regularization Methods for Image Restoration Problems

<table>(a) True image, (b) blurred and noisy image with <svg height="11.125" id="M231" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 37.3125 11.125" width="37.3125" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,10.862)"><path d="M548 455q-32 -77 -74 -77q-37 0 -103 10l-3 -2q36 -30 48.5 -62t12.5 -80q0 -103 -75 -179.5t-175 -76.5q-70 0 -113 45t-43 128q0 115 83.5 200.5t209.5 85.5q31 0 77.5 -4t67.5 -4q36 0 62 30zM350 274q0 54 -17 86q-19 35 -57 35q-50 0 -90 -37.5t-59 -91.5t-19 -109
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</svg>, (c) restored image with LSQR, and (d) restored image with IDR(<a href="https://static.hindawi.com/articles/aaa/volume-2013/129652/figures/#EEq1">1</a>).</table>

Abstract and Applied Analysis

fig1

Figure 1

Figure 1: Two New Efficient Iterative Regularization Methods for Image Restoration Problems 