Gray Level Image Enhancement Using Cuckoo Search Algorithm

Ghosh, Soham; Roy, Sourya; Kumar, Utkarsh; Mallick, Arijit

doi:10.1007/978-3-319-04960-1_25

Cited by 13 publications

(10 citation statements)

References 14 publications

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“…The CS algorithm has successful applications to various problems of optimization [13], image processing [3], engineering design and data clustering [6], among other applications, and for this reason it is important to improve its results.…”

Section: Results For the Rosenbrock Function With Pa Variationmentioning

confidence: 99%

Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior

Guerrero

Castillo

García

2015

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

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We describe in this paper the Cuckoo Search Algorithm via Lévy flights and present the study of parameters behavior in the algorithm. CS is a stochastic algorithm, inspired by the natural behavior of a family of birds called Cuckoos. The parameters considered in the study are: Pa (probability to be discovered by the host bird), α (is the step size), b (variable included in Lévy distribution). The experiments were performed with the Rosenbrock function. We will observe the behavior of Pa, α and b parameters according to the variation of their rank, the number of iterations and the effect they have on the optimal value.

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Section: Results For the Rosenbrock Function With Pa Variationmentioning

confidence: 99%

Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior

Guerrero

Castillo

García

2015

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

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“…In such cases, images should be changed starting with one structure then onto the next to such an extent that the required highlights are accentuated, while those which are not required are either evacuated or diminished. [10]…”

Section: Ezhilarasi P Et Al (2014) the Adequacy Of Lossless Imagementioning

confidence: 99%

Document Image Compression using DC-DWT

Thakare¹,

Kale²

2019

IJITEE

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Scanned Document Image compression is an important technology for digital image transmission and storage. This study proposes a unique image compression system based on discrete curvelet transform & discrete wavelet Transform (DC-DWT) with a varying pixels position. The discrete wavelet and the Curvelet transform technique, which because of their outcomes and characteristics, DWT and CT are the most suitable technology for the varied field of image processing. The position of a pixel in the document images and the high-impact components are handled using the curve let transform technique during the compression of the JPEG image. The Cuckoo search algorithm is used for image enhancement. Depending on two primary criteria checks, excellent outcomes were achieved; the compression ratio and the quality of recreated scan document.

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“…The CNC index, a powerful defogging review sign which often is beneficial in order to slowly move the parameter adjusting procedure [4]. With the source hazy image x and the unique equivalent fog free picture y, the CNC index is received just after undertaking these kinds of steps: 1) Calculate the velocity e of seen tips soon after as well as previous to haze elimination.…”

Section: Image Defogging Effect Assessmentmentioning

confidence: 99%

“…Histogram stretch is utilized while post-processing along with histogram equalization as a before processing. [4] …”

Section: Trilateral Filteringmentioning

confidence: 99%

“…Ma, Zhongli et al [20] discussed just about any excellent pixel answer to the prices within the skies additionally non-sky sections, that lets you mitigate your own halo bedroom throughout the sharpened tips lowering shading physique distortions above region. Wang et al [4] used the multi-scale stiffness thoughts games formula in order to approximation that atmospheric veil, so that you can shape an awful strengthen plus sort the form a contrast regarding information during different scales. An item can bring about pitiable outcome after does not recognize your regional maxima in addition to local minima accurately.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

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Improved Air Light Estimation Algorithm by using Fuzzy Filters and Dark Channel with Large Haze Gradients

Rai¹,

Bajaj²

2017

IJCA

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Fog phenomena bring about air flow gentle generating and also decline this awareness involving made from photograph caught in the camera. To increase awareness, air flow gentle evaluation is essential regarding photograph errors removal. As air flow gentle can be quite dazzling, this conventional methods immediately select dazzling p regarding air flow gentle estimation.In this paper improved/hybrid fuzzy filters based haze removal algorithm is proposed. The dark channel prior can automatically extract the global atmospheric light and roughly eliminate the atmospheric veil. To make dark channel prior more effective, the atmospheric veil has been refined by using hybrid fuzzy filters as well as it able to produce a haze free image in more optimistic manner. The use of improved/hybrid fuzzy filters has improved the coarse estimated atmospheric veil by reducing halo artifacts.

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Gray Level Image Enhancement Using Cuckoo Search Algorithm

Cited by 13 publications

References 14 publications

Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior

Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior

Document Image Compression using DC-DWT

Improved Air Light Estimation Algorithm by using Fuzzy Filters and Dark Channel with Large Haze Gradients

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