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EN
In this paper, we propose a novel three-dimensional (3D) integral imaging system to simultaneously improve the depth of field (DOF), resolution, and image quality of reconstructed images by variable spatial filtering and intermediate-view reconstruction technology (IVRT). In the proposed method, the camera performs element images acquisition on a 3D scene with objects of different depths through a 2D grid plane. The reconstructed slice image and block matching algorithm are used to extract the depth of the element images. To improve the sharpness of depth, the Laplace operator is used to perform variable depth filtering on objects of different depths, and depth-enhanced all-filtering element images are obtained through simple pixel fusion. IVRT is applied to all-filtering element images to obtain more element images to reconstruct a resolution-enhanced 3D image. According to the energy of gradient (EOG) value and the Tenengrad value, the reconstruction image quality evaluation of the proposed method is improved by 7.63 and 4.81 times compared with the traditional method, respectively. By the proposed method of generating all-filtering element images and an IVRT in 3D integral imaging system, the experimental results demonstrate that the 3D reconstructed image has extended depth of field, enhanced resolution and improved image quality.
EN
In this work, authors investigated the effect of the Depth of Field (DoF) reduction, arising when the acquisition of small objects is carried out with a photogrammetry-based system using a Digital Single Lens Reflex (DSLR) camera and the structure from motion (SfM) algorithm. This kind of measuring instrument is very promising for industrial metrology according to the paradigms of the fourth industrial revolution. However, when increasing the magnification level, necessary for the reconstruction of sub-millimetric features, there is a corresponding decrease of the DoF, leading to possible effects on the reconstruction accuracy. Thus, the effect of the DoF reduction was analysed through the reconstruction of a well-known artefact: the step gauge. The analysis was conducted considering the theory behind the DoF concept, the analysis of the 2D images, input of photogrammetric reconstruction and, finally, the results in terms of dimensional verification of the reconstructed step gauge.
3
Content available remote Depth of field effect simulation based on digital camera settings
EN
The paper describes the depth of field simulation method applied to already taken photographs. It is consistent with the physical aspect of the phenomenon and bases only on parameters which are equivalent to the properties and settings of the digital camera. Author describes main depth of field basics and, taking into consideration digital photography aspect, introduces equations for circle of confusion estimation and further - four versions of blurring algorithms with different computational complexity and advancement level. The potential user of the implemented method can test individual camera setup and/or learn how each of its elements influences the depth of field effect on an image, without any knowledge about image editing methods or geometrical optic physics required.
PL
Artykuł opisuje metodę generacji obrazów z efektami skończonej głębi ostrości chrakterystycznymi dla obrazów fotograficznych. Wykorzystano metodę śledzenia promieni z uwzględnieniem rzeczywistej konstrukcji obiektywu i nastawionej wartości przysłony. Wiązki promieni wychodzące z pojedyńczego piksela są prowadzone poprzez kolejne soczewki obiektywu. Dalsza interakcja promienia z obiektami sceny identyczna jak w klasycznej metodzie śledzenia promieni.
EN
The paper describes the processes of referending images with finite depth of field effects typical in photographic images. Ray tracing method takes into account multilens construction of photographic lenses and the actual f-stop value. Bunch of rays originated in pixel are traced through all lens surfaces. Further interaction with objects in scene is performed in classic manner.
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