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Enhancing quality image fusion was proposed using new algorithms in auto-focus image fusion. The first algorithm is based on determining the standard deviation to combine two images. The second algorithm concentrates on the contrast at edge points and correlation method as the criteria parameter for the resulted image quality. This algorithm considers three blocks with different sizes at the homogenous region and moves it 10 pixels within the same homogenous region. These blocks examine the statistical properties of the block and decide automatically the next step. The resulted combined image is better in the contrast value because of the added edge points from the two combined images that depend on the suggested algorithms. This enhancement in edge regions is measured and reaches to double in enhancing the contrast. Different methods are used to be compared with the suggested method.
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Yan Z, Chen G, Xu W, Yang C, Lu Y. Study of an image autofocus method based on power threshold function wavelet reconstruction and a quality evaluation algorithm. Appl Opt. 2018;57(33):9714-21.
Liu S, Liu M, Yang Z. An image auto-focusing algorithm for industrial image measurement. J Adv Sig Pr. 2016:1-16.
Liu C-S, Song R-C, Fu S-J. Design of a laser-based autofocusing microscope for a sample with a transparent boundary layer. Appl. Phys. B. 2019;125.
Bimber O, Emmerling A. Multifocal projection: a multiprojector technique for increasing focal depth. IEEE Trans Vis Comput Graph. 2006;12(4):658-67.
Pawley JB. Points, Pixels, Gray Levels: Digitizing Image Data. Edition T, editor. New York: Spr Sci Bus M; 2006.
Mansurov N. Introduction to Aperture in Photography 2018 [updated 2018. Available from: https://photographylife.com/what-is-aperture-in-photography.
Zhao H, Shang Z, Tang YY, Fang B. Multi-focus image fusion based on the neighbor distance. Patt Rec. 2013;46(3):1002-11.
Liu Y, Liu S, Wang Z. Multi-focus image fusion with dense SIFT. Inf Fusion. 2015; 23(C):139-55.
Bavirisetti DP, Dhuli R. Multi-focus image fusion using multi-scale image decomposition and saliency detection. Ain Shams Eng J. 2018; 9(4):1103-17.
Liu Y, Chen X, Peng H, Wang Z. Multi-focus image fusion with a deep convolutional neural network. Inf Fusion. 2017; 36(C):191-207.
Jiang B, Wang P, Zhuang S, Li M, Li Z, Gong Z. Detection of maize drought based on texture and morphological features. Comput Electron Agr. 2018; 151:50-60.
Roman G. Mems Focus On Cell Phone Camera Market: Mems Inv J Inc.; 2010 [Available from: https://www.memsjournal.com/2010/10/mems-focus-on-cell-phone-camera-market.html.
Pertuz S, Puig D, Garcia MA. Analysis of focus measure operators for shape-from-focus. Pattern Recogn . 2013; 46(5):1415-32.
Nishida Sy. Image statistics for material perception. Curr Opin Behav Sci. 2019;30:94-9.
Awad R, Al-Zuky AA, Al-Saleh AH, Mohamad HJ. Enhance Video Film using Retnix method. J. Phys. Conf. 2018; 1003:012124.
Senaras C, Niazi MKK, Lozanski G, Gurcan MN. DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning. PLOS ONE. 2018;13(10):e0205387.
Mathur N, Mathur S, Mathur D. A novel approach to improve Sobel edge detector. Procedia Comp Sci. 2016; 93:431-8.
Abbas HK. A Study of Digital Image Fusion Techniques Based on Contrast and Correlation measures: PhD thesis, Mustansiriyah University; 2013.
Al-Zuky AA, Esraa HA. TV-Satellite Image Quality Evaluation by Cross-Correlation. ANJS 2015;18(3):150-4.
Mondal S, Mondal H. Value of r square in Statistical Analysis by Pearson Correlation Coefficient. J Clin Diag Res. 2017;11:CL01.
Myna A.N, J.Prakash. A Novel Hybrid Approach for Multi-Focus Image Fusion using Fuzzy Logic and Wavelets. IJETTCS. 2014;3(2):131-8.
Maruthi R. Spatial Domain Method for Fusing Multi-Focus Images using Measure of Fuzziness. Int J Comput Appl 2011;20(7):48-51.
Imam E. Remote Sensing and GIS: Digital Image Fusion. 2019. p. 21 pages.
Abbas HK, Al-Saleh AH, Al-Zuky AA. Optical Images Fusion Based on Linear Interpolation Methods. Iraqi J Sci. 2019;60(4):924-36.
Abass HK.. A Study of Digital Image Fusion Techniques Based Quality Measurements. Scholars' Press; 2015. 224p.