Mathematical Problems in Engineering / 2015 / Article / Tab 2 / Research Article
Image Denoising via Asymptotic Nonlocal Filtering Table 2 PSNR and MSSIM comparisons of image denoising results, MSSIM results are shown in brackets (The better indexes are displayed in bold and our indexes are displayed in italic font).
Test image Test model Lena NLM 31.39 (0.832) 27.74 (0.700) 26.60 (0.630) 25.50 (0.568) 23.98 (0.462) 22.76 (0.377) iPPB 31.69 (0.846) 28.60 (0.747) 27.68 (0.700) 26.81 (0.652) 25.35 (0.565) 24.23 (0.487) SSIM-NLM 31.35 (0.871) 27.14 (0.762) 26.36 (0.744) 25.71 (0.728) 24.72 (0.699) 24.01 (0.675) MSNLM 31.44 (0.851) 28.60 (0.782) 27.66 (0.750) 26.91 (0.719) 25.72 (0.660) 24.77 (0.603) BM3D 33.05 (0.877 )29.86 (0.815) 29.05 (0.799) 28.27 (0.780) 26.97 (0.743)25.95 (0.709) -ANLF32.33 (0.863) 29.34 (0.792) 28.19 (0.759) 27.41 (0.728) 25.99 (0.669) 24.85 (0.615) SSIM-ANLF 31.07 (0.854) 29.11 (0.812) 28.29 (0.794) 27.58 (0.777) 26.38 (0.748) 25.40 (0.721) Rice NLM 30.63 (0.829) 25.45 (0.704) 23.41 (0.623) 22.01 (0.549) 20.36 (0.432) 19.43 (0.351) iPPB 30.17 (0.822) 26.74 (0.740) 25.55 (0.703) 24.62 (0.665) 21.92 (0.537) 20.24 (0.427) SSIM-NLM 28.07 (0.766) 26.53 (0.731) 25.61 (0.704) 24.71 (0.675) 23.73 (0.643) 22.83 (0.611) MSNLM 29.34 (0.803) 25.75 (0.720) 24.56 (0.682) 23.57 (0.644) 22.07 (0.573) 21.04 (0.510) BM3D 30.28 (0.820) 27.26 (0.760) 26.15 (0.728) 25.32 (0.703) 23.97 (0.658) 22.85 (0.614) -ANLF29.93 (0.804) 27.29 (0.748) 26.02 (0.712) 24.83 (0.674) 22.82 (0.593) 21.41 (0.522) SSIM-ANLF 29.97 (0.808) 27.47 (0.760) 26.42 (0.734) 25.50 (0.707) 24.03 (0.662) 22.91 (0.622) House NLM 32.14 (0.834) 27.71 (0.697) 25.99 (0.625) 25.00 (0.559) 23.26 (0.446) 22.03 (0.360) iPPB 32.36 (0.844) 29.00 (0.762) 27.78 (0.710) 26.69 (0.658) 24.71 (0.549) 23.54 (0.477) SSIM-NLM 30.04 (0.824) 28.68 (0.800) 25.50 (0.739) 24.71 (0.719) 23.58 (0.684) 22.83 (0.656) MSNLM 31.51 (0.846) 28.42 (0.783) 27.30 (0.750) 26.37 (0.716) 24.92 (0.649) 23.83 (0.585) BM3D 33.77 (0.873) 30.65 (0.826) 29.69 (0.812) 28.74 (0.794) 27.16 (0.756) 25.87 (0.720) -ANLF32.56 (0.851) 29.39 (0.791) 28.20 (0.760) 27.19 (0.729) 25.53 (0.667) 24.24 (0.608) SSIM-ANLF 31.91 (0.846) 29.63 (0.815) 28.71 (0.803) 27.95 (0.784) 26.66 (0.755) 25.53 (0.726) Parrot NLM 33.18 (0.875) 29.10 (0.730) 27.70 (0.656) 26.52 (0.586) 24.64 (0.466) 23.23 (0.373) iPPB 33.46 (0.889) 30.08 (0.797) 29.00 (0.748) 27.96 (0.694) 26.33 (0.589) 24.80 (0.487) SSIM-NLM 33.24 (0.916) 30.38 (0.873) 29.26 (0.856) 28.22 (0.841) 25.96 (0.794) 25.05 (0.766) MSNLM 33.28 (0.904) 30.00 (0.841) 28.85 (0.807) 27.90 (0.772) 26.69 (0.706) 25.72 (0.648) BM3D 34.84 (0.921) 31.41 (0.874)30.46 (0.863)29.58 (0.845)28.21 (0.814)27.11 (0.783) -ANLF34.11 (0.913) 30.85 (0.866) 29.66 (0.840) 28.67 (0.816) 27.09 (0.765) 25.98 (0.716) SSIM-ANLF 33.19 (0.911) 30.87 (0.878) 29.92 (0.867) 29.08 (0.855) 27.68 (0.835) 26.61 (0.814) Hill NLM 29.15 (0.746) 26.03 (0.600) 25.12 (0.538) 24.40 (0.487) 23.27 (0.401) 22.35 (0.333) iPPB 29.42 (0.762) 26.81 (0.634) 25.87 (0.583) 25.17 (0.543) 24.09 (0.467) 23.24 (0.405) SSIM-NLM 29.49 (0.771) 26.65 (0.643) 25.23 (0.587) 24.62 (0.562) 24.08 (0.542) 23.54 (0.521) MSNLM 28.93 (0.736) 26.66 (0.642) 26.00 (0.613) 25.46 (0.585) 24.68 (0.540) 24.04 (0.498) BM3D 30.72 (0.804) 27.99 (0.707) 27.19 (0.675) 26.52 (0.647) 25.43 (0.601) 24.58 (0.565) -ANLF29.97 (0.775) 27.32 (0.671) 26.46 (0.633) 25.79 (0.601) 24.73 (0.547) 23.92 (0.504) SSIM-ANLF 29.55 (0.766) 27.19 (0.660) 26.51 (0.639) 25.89 (0.622) 24.96 (0.574) 24.30 (0.540) Flower NLM 30.12 (0.847) 25.91 (0.681) 24.64 (0.604) 23.71 (0.537) 22.41 (0.429) 21.48 (0.350) iPPB 30.08 (0.861) 27.01 (0.744) 25.87 (0.686) 24.91 (0.629) 23.41 (0.527) 22.43 (0.445) SSIM-NLM 29.80 (0.882) 26.31 (0.770) 25.38 (0.738) 24.69 (0.713) 22.76 (0.626) 22.27 (0.597) MSNLM 29.43 (0.856) 26.25 (0.757) 25.33 (0.716) 24.59 (0.673) 23.62 (0.607) 22.88 (0.550) BM3D 31.90 (0.902) 28.25 (0.818) 27.14 (0.788) 26.31 (0.759) 25.02 (0.708) 24.03 (0.665) -ANLF30.99 (0.886) 27.65 (0.793) 26.49 (0.749) 25.55 (0.708) 24.15 (0.636) 23.16 (0.575) SSIM-ANLF 30.50 (0.879) 27.66 (0.806) 26.56 (0.771) 25.76 (0.750) 24.45 (0.702) 23.53 (0.660)