Polychromatic through-focus image quality in a wavefront-shaping presbyopia correcting intraocular lens

2021 ◽  
Author(s):  
Francisco Pastor-Pascual ◽  
Alicia Gómez-Gómez ◽  
Robert Montés-Micó ◽  
Ramón Ruiz-Mesa ◽  
Pedro Tañá-Rivero
Keyword(s):  
Image Quality ◽  
Intraocular Lens ◽  
Focus Image ◽  
Wavefront Shaping

Assessment of the image quality of extended depth-of-focus intraocular lens models in polychromatic light

2020 ◽  
Vol 46 (1) ◽  
pp. 108-115 ◽  
Author(s):  
Yumi Lee ◽  
Grzegorz Łabuz ◽  
Hyeck-Soo Son ◽  
Timur M. Yildirim ◽  
Ramin Khoramnia ◽  
...  
Keyword(s):  
Image Quality ◽  
Intraocular Lens ◽  
Depth Of Focus ◽  
Extended Depth Of Focus ◽  
Polychromatic Light

Non-diffractive wavefront shaping extended depth of focus (EDoF) intraocular lens

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Thomas Kohnen ◽  
Kerstin Petermann ◽  
Myriam Böhm ◽  
Eva Hemkeppler ◽  
Wasim Ahmad ◽  
...  
Keyword(s):  
Intraocular Lens ◽  
Depth Of Focus ◽  
Extended Depth Of Focus ◽  
Wavefront Shaping

scholarly journals New algorithms to Enhanced Fused Images from Auto-Focus Images

2021 ◽  
Vol 18 (1) ◽  
pp. 0124
Author(s):  
Heba Kh. Abbas ◽  
Anwar H Al-Saleh ◽  
Haidar Jawad Mohamad ◽  
Ali Abid Al-Zuky
Keyword(s):  
Standard Deviation ◽  
Image Quality ◽  
Image Fusion ◽  
Correlation Method ◽  
Quality Image ◽  
Edge Points ◽  
Focus Image ◽  
Auto Focus ◽  
Combined Images ◽  
New Algorithms

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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