Scratch Detection Based on Image Reconstruction Using Ideal-Image-Pair Dataset of Just before/after Defect Occurrence

The heroine is a character who has succeeded in embracing the public imagination in terms of self-image and became the ideal image of female, including in Indonesia. The character of Srimaya/ Valentine is a heroine character coming from local comic taken into Indonesia’s movies. The image presented on Srimaya/ Valentine is the symptom of capitalism in the Indonesian’s movies, the character is also one of the case studies in image reconstruction product or the representation of female using their image as a heroine. The discourse of female representation in the character of Srimaya/ Valentine does not only show about image idealized however it also represents the ideology of post-feminism as well as a politic of identity presented in the world of local films. The achievement of identity exceeds physical image from female because, in character, there are many symbols about feminists. This research was done to know the discourse of identity in view of post-feminism delivered in the film of Valentine(2017).

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Unsupervised HDR Image Reconstruction Based on Over/Under-Exposed LDR Image Pair

2021 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme51207.2021.9428074 ◽

2021 ◽

Author(s):

Hao Wang ◽

Tao Zhang ◽

Guoyu Lu

Keyword(s):

Image Reconstruction ◽

Image Pair ◽

Hdr Image

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Adaptive Ideal Image Reconstruction for Bacteria Colony Detection

Advances in Intelligent and Soft Computing - Information Technology and Agricultural Engineering ◽

10.1007/978-3-642-27537-1_44 ◽

2012 ◽

pp. 353-360 ◽

Cited By ~ 4

Author(s):

Anan Liu ◽

Zheren Liu ◽

Limin Song ◽

Dong Han

Keyword(s):

Image Reconstruction ◽

Ideal Image

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High quality image reconstruction from RAW and JPEG image pair

2011 International Conference on Computer Vision ◽

10.1109/iccv.2011.6126492 ◽

2011 ◽

Cited By ~ 6

Author(s):

Lu Yuan ◽

Jian Sun

Keyword(s):

Image Reconstruction ◽

Image Pair ◽

High Quality ◽

Jpeg Image ◽

High Quality Image ◽

Quality Image

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Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051669 ◽

1974 ◽

Vol 32 ◽

pp. 330-331

Author(s):

R. A. Crowther

Keyword(s):

Image Reconstruction ◽

Finite Number ◽

Density Distribution ◽

Electron Micrographs ◽

Mathematical Problem ◽

Three Dimensional ◽

Ideal Case ◽

Dimensional Image ◽

General Object ◽

The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

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Three dimensional deblurring of transmitted-light brightfield micrographs

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100148654 ◽

1993 ◽

Vol 51 ◽

pp. 564-565

Author(s):

Santosh Bhattacharyya

Keyword(s):

Image Reconstruction ◽

Three Dimensional ◽

Transmitted Light ◽

Reconstruction Algorithms ◽

3D Image Reconstruction ◽

Structural Details ◽

Spread Function ◽

Early Testing ◽

Linearized Model ◽

Image Reconstruction Algorithms

Three dimensional microscopic structures play an important role in the understanding of various biological and physiological phenomena. Structural details of neurons, such as the density, caliber and volumes of dendrites, are important in understanding physiological and pathological functioning of nervous systems. Even so, many of the widely used stains in biology and neurophysiology are absorbing stains, such as horseradish peroxidase (HRP), and yet most of the iterative, constrained 3D optical image reconstruction research has concentrated on fluorescence microscopy. It is clear that iterative, constrained 3D image reconstruction methodologies are needed for transmitted light brightfield (TLB) imaging as well. One of the difficulties in doing so, in the past, has been in determining the point spread function of the system.We have been developing several variations of iterative, constrained image reconstruction algorithms for TLB imaging. Some of our early testing with one of them was reported previously. These algorithms are based on a linearized model of TLB imaging.

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