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Relevant bibliographies by topics / MODIFIED HISTOGRAM

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Journal articles

Academic literature on the topic 'MODIFIED HISTOGRAM'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "MODIFIED HISTOGRAM"

1

Tang, Jing Rui, and Nor Ashidi Mat Isa. "Bi-histogram equalization using modified histogram bins." Applied Soft Computing 55 (June 2017): 31–43. http://dx.doi.org/10.1016/j.asoc.2017.01.053.

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2

Patil, Varsha, and Tanuja Sarode. "Modified CSLBP." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2950. http://dx.doi.org/10.11591/ijece.v9i4.pp2950-2959.

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<p>Image hashing is an efficient way to handle digital data authentication problem. Image hashing represents quality summarization of image features in compact manner. In this paper, the modified center symmetric local binary pattern (CSLBP) image hashing algorithm is proposed. Unlike CSLBP 16 bin histogram, Modified CSLBP generates 8 bin histogram without compromise on quality to generate compact hash. It has been found that, uniform quantization on a histogram with more bin results in more precision loss. To overcome quantization loss, modified CSLBP generates the two histogram of a fo

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3

Vorobel, R. A., O. R. Berehulyak, I. B. Ivasenko, and T. S. Mandziy. "Modified method of image histogram hyperbolization." Information extraction and processing 2021, no. 49 (2021): 52–56. http://dx.doi.org/10.15407/vidbir2021.49.052.

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One of the methods to improve image quality, which consists in increasing the resolution of image details by contrast enhancement, is to hyperbolize the image histogram. Herewith this increase in local contrast is carried out indirectly. It is due to the nature of the change in the histogram of the transformed image. Usually the histogram of the input image is transformed so that it has a uniform distribution, which illustrates the same contribution of pixels gray level to the image structure. However, there is a method that is based on modeling the human visual system, which is characterized

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4

Skianis, G. Aim, Th Gournelos, D. Vaiopoulos, and K. Nikolakopoulos. "A STUDY OF THE PERFORMANCE OF THE MODIFIED TRANSFORMED VEGETATION INDEX MTVI." Bulletin of the Geological Society of Greece 43, no. 3 (2017): 1647. http://dx.doi.org/10.12681/bgsg.11339.

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In the context of a recent research on the performance of vegetation indices we have shown, with the aid of probability theory, that the shape and width of the histogram of the Transformed Vegetation Index TVI is controlled by the ratio of the standard deviation of the Red band to that of the NIR band. Therefore a modification of the mathematical expression of the TVI vegetation index may produce images with a varying tonality contrast. In the present paper the modified transformed vegetation index MTVI is introduced, the value of which is controlled by a positive parameter c. A theoretical st

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5

Berlinet, Alain, Gérard Biau, and Laurent Rouvière. "Parameter selection in modified histogram estimates." Statistics 39, no. 2 (2005): 91–105. http://dx.doi.org/10.1080/02331880500059713.

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Kollem, Sreedhar, K. Ramalinga Reddy, and D. Sreenivasa Rao. "Image Denoising by using Modified SGHP Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (2018): 971. http://dx.doi.org/10.11591/ijece.v8i2.pp971-978.

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In real time applications, image denoising is a predominant task. This task makes adequate preparation for images looks prominent. But there are several denoising algorithms and every algorithm has its own distinctive attribute based upon different natural images. In this paper, we proposed a perspective that is modified parameter in S-Gradient Histogram Preservation denoising method. S-Gradient Histogram Preservation is a method to compute the structure gradient histogram from the noisy observation by taking different noise standard deviations of different images. The performance of this meth

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7

Zhuang, Liyun, and Yepeng Guan. "Image Enhancement Using Modified Histogram and Log-Exp Transformation." Symmetry 11, no. 8 (2019): 1062. http://dx.doi.org/10.3390/sym11081062.

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An effective method to enhance the contrast of digital images is proposed in this paper. A histogram function is developed to make the histogram curve smoother, which can be used to avoid the loss of information in the processed image. Besides the histogram function, an adaptive gamma correction for the histogram is proposed to stretch the brightness contrast. Moreover, the log-exp transformation strategy is presented to progressively increase the low intensity while suppressing the decrement of the high intensity. In order to further widen the dynamic range of the image, the nonlinear normali

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8

Santhi, K., and R. S. D. Wahida Banu. "Adaptive contrast enhancement using modified histogram equalization." Optik - International Journal for Light and Electron Optics 126, no. 19 (2015): 1809–14. http://dx.doi.org/10.1016/j.ijleo.2015.05.023.

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9

Santhi, K., and R. S. D. Wahida Banu. "Contrast enhancement by modified octagon histogram equalization." Signal, Image and Video Processing 9, S1 (2014): 73–87. http://dx.doi.org/10.1007/s11760-014-0643-6.

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10

Chen, Yung-Yao, Kai-Lung Hua, Yun-Chen Tsai, and Jun-Hua Wu. "Photographic Reproduction and Enhancement Using HVS-Based Modified Histogram Equalization." Sensors 21, no. 12 (2021): 4136. http://dx.doi.org/10.3390/s21124136.

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Photographic reproduction and enhancement is challenging because it requires the preservation of all the visual information during the compression of the dynamic range of the input image. This paper presents a cascaded-architecture-type reproduction method that can simultaneously enhance local details and retain the naturalness of original global contrast. In the pre-processing stage, in addition to using a multiscale detail injection scheme to enhance the local details, the Stevens effect is considered for adapting different luminance levels and normally compressing the global feature. We pro

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