&lt;title&gt;Image enhancement by homomorphic filters&lt;/title&gt;

Пономарев, В. И.; Pogrebnyak, Oleksiy

doi:10.1117/12.217396

Cited by 13 publications

(17 citation statements)

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“…where, F i (u, v) and F r (u, v) in Equation (11) are the Fourier transforms of the terms defined earlier lnf i (x, y) and lnf r (x, y) [12]. The function Figure 10.…”

Section: Ahf For Enhancing Ec Mapmentioning

confidence: 99%

“…A good choice between the lower and the higher frequency provides a dynamic range of the compression and enhancement [12]. H(u, v) acts on the illumination and the reflectance components of the input image separately.…”

Section: Z(u V)mentioning

confidence: 99%

“…Images are composed by reflection of the light from physical objects. The process of realization of an image can be modelled like a product about a lighting (f i ) and a reflection (f r ) function [12]:…”

Section: Ahf For Enhancing Ec Mapmentioning

confidence: 99%

“…In our FEM, since we use A − ψ formulation, just the z-component of magnetic potential A is non null. Finally, EC map has been processed with an Adaptive Homomorphic Filtering (AHF) [12] in order to improve the interpretability or the perception of information in images for human viewers or to provide the 'better' input for the other automated image processing techniques. This paper presents the details and numerical results of our study.…”

Section: Introductionmentioning

confidence: 99%

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Ec Modelling and Enhancement Signals in CFRP Inspection

Megali¹,

Pellicanó²,

Cacciola³

et al. 2010

PIER M

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Abstract-Non Destructive Testing techniques are more and more exploited in order to quickly and cheaply recognize flaws into the inspected materials, specially for carbon fiber reinforced polymers in recent years. Their production which are widely used both in civil and military applications, is an elaborate process un-free from faults and problems. Problems during the manufacturing, such as plies' overlapping, can cause flaws in the resulting material, this way compromising its integrity. Within this framework, this work aims to propose a design of ferrite core probe for eddy current non destructive evaluation, in order to investigate the presence of defects in carbon fiber epoxy composite materials. In this context, modelling is a powerful tool for inspection improvements. It helps probe-coil designers to optimize sensors for each examination requirement, providing better understanding of the involved physics, supporting operator training and increasing defect analysis reliability. Particularly, Finite Element based analyzes will be carried out into this path. After this step, in order to improve the quality of simulated measurement, a filtering technique has been exploited in order to improve the accuracy and performance of the flaw detection.

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“…where, F i (u, v) and F r (u, v) in Equation (11) are the Fourier transforms of the terms defined earlier lnf i (x, y) and lnf r (x, y) [12]. The function Figure 10.…”

Section: Ahf For Enhancing Ec Mapmentioning

confidence: 99%

Section: Z(u V)mentioning

confidence: 99%

Section: Ahf For Enhancing Ec Mapmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Ec Modelling and Enhancement Signals in CFRP Inspection

Megali¹,

Pellicanó²,

Cacciola³

et al. 2010

PIER M

View full text Add to dashboard Cite

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“…The transform domain enhancement approaches mainly including the frequency transform and the wavelet transform [6,7,8] are studied by adopting the linear or nonlinear operator to process the transform coefficients. For instance, homomorphic filtering [6], one of the convenient frequency domain enhancement approaches, is able to improve the image views effectively by compressing image brightness. This operation, however, leads to an adverse decrease of low frequency details information.…”

Section: Introductionmentioning

confidence: 99%

Infrared Image Enhancement Based on Multiscale Bilateral Detail Decomposition

Zeng¹,

Li²,

Qin³

et al. 2017

dtetr

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Abstract. In order to solve the problem that infrared images usually have a poor visual effect with low contrast and weak details, an infrared image enhancement method based on multiscale bilateral detail decomposition (MBDD) is proposed in this paper. The core of MBDD strategy lies in utilizing bilateral filter with different scale parameters to achieve multiscale detail decomposition for infrared image. On the one hand, abundant detail information in different scales is effectively extracted as detail sub-images to be enhanced; on the other hand, a set of corresponding weights is constructed adaptively. The output image is a fused version from enhanced detail scale sub-images. Experimental results show that the proposed method outperforms other conventional methods for infrared image enhancement.

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