Practical considerations on color image enhancement using homomorphic filtering

Voicu, Letitia; Myler, Harley R.; Weeks, Arthur R.

doi:10.1117/12.251157

Cited by 53 publications

(23 citation statements)

References 5 publications

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“…Low frequencies of Fourier transform of log of an image are associated with illumination and high frequencies are associated with reflectance. [6,7] Although these are approximate associations, they can be used for image enhancement. Transfer function is controlled in such a way that low frequencies are attenuated and high frequencies are passed untouched ( Figure 2).…”

Section: Take Inverse Fourier Transform On Both Sidesmentioning

confidence: 99%

Homomorphic filtering textural analysis technique to reduce multiplicative noise in the 11Oba nano-doped liquid crystalline compounds

et al. 2015

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The compound undecyloxy benzoic acid (11Oba) exhibits nematic and smectic-C phases while a nano-doped undecyloxy benzoic acid with ZnO exhibits the same nematic and smectic-C phases with reduced clearing temperature as expected. The doping is done with 0.5% and 1% ZnO molecules. The clearing temperatures are reduced by approximately 4 and 6 , respectively (differential scanning calorimeter data). While collecting the images from a polarizing microscope connected with hot stage and camera, the illumination and reflectance combined multiplicatively and the image quality was reduced to identify the exact phase in the compound. A novel technique of homomorphic filtering is used in this manuscript through which multiplicative noise components of the image are separated linearly in the frequency domain. This technique provides a frequency domain procedure to improve the appearance of an image by gray level range compression and contrast enhancement.

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Section: Take Inverse Fourier Transform On Both Sidesmentioning

confidence: 99%

Homomorphic filtering textural analysis technique to reduce multiplicative noise in the 11Oba nano-doped liquid crystalline compounds

et al. 2015

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“…Medical iris is based on the morphology; morphological changes are observated in the human iris, and by inference and analysis to predict the health of the human body, the occurrence of the disease and physical rehabilitation [17,18].…”

Section: Experiments Analysismentioning

confidence: 99%

An Embedded Iris Image Acquisition Research

Chen

Qin

2017

IJEECS

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In view of the limitation of traditional identification, it is easy to lose and copy keys, cards or ID cards, and it is easy to forget the password. Here, an embedded application system was designed based on the iris identification technology, the functions of gathering, inputing, and registering the iris information and identification can be realized. The system architecture was designed by using the embedded microprocessor of advanced RISC machines (ARM), which is used as the core. The iris sensor was used to gather the iris information, and the development of software was accomplished with the embedded OS Windows CE. The system can be used on the company entrance guard system, customs security of airport and criminal identification.

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“…But, this can be costly [5]. Dynamic models [10], illumination correction algorithms [11][12][13][14][15] and homomorphic filtering [16][17][18] are other solutions along with their pros and cons. For example, homomorphic filtering is not directly applicable for color images and it is very slow.…”

Section: Introductionmentioning

confidence: 99%

Boosting performance of face detection by using an efficient skin segmentation algorithm

Mahmoodi

Sayedi

2014

2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)

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Skin detection plays a very essential role in many image processing applications such as face localization, face recognition, gesture recognition and human identification. A robust pre-processing skin detection algorithm can significantly increase the performance of an application in both terms of speed and accuracy. Skin segmentation is often computationally simple, though in many conditions, uneven and nonlinear illumination degrades its performance. Recently, many methods have been proposed to solve the problem, yet most of them are not applicable in different conditions and disparate illuminations. This paper proposes an algorithm which employs not only a pixel-based processing, but also an additional neighbor-based and region-based processing. This enhances the output of the algorithm. Also a novel method in which the YC b C r image is converted to a ternary image by means of a set of decisive rules is employed. In a further processing stage, a region-based algorithm is used to decide with a high certainly on the pixels which are not skin. Results demonstrate that the proposed algorithm is robust and capable of detecting skin windows comparable with state of the art algorithms.

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Practical considerations on color image enhancement using homomorphic filtering

Cited by 53 publications

References 5 publications

Homomorphic filtering textural analysis technique to reduce multiplicative noise in the 11Oba nano-doped liquid crystalline compounds

Homomorphic filtering textural analysis technique to reduce multiplicative noise in the 11Oba nano-doped liquid crystalline compounds

An Embedded Iris Image Acquisition Research

Boosting performance of face detection by using an efficient skin segmentation algorithm

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