Search algorithm and the distortion analysis of fine details of real images

Sai, S. V.; Sorokin, Nikolay

doi:10.1134/s1054661809020072

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…In our works [9][10] we proposed method of the color differences estimation between the fine detail ( …”

Section: Algorithm For Search and Recognitionmentioning

confidence: 99%

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Quality Analyses of Fine Structures Transfer in the Photorealistic Images

Sai¹,

Sai²,

Sorokin³

2013

OJAppS

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This work presents method of the quality analyses of the photorealistic images. Developed method utilizes proposed criteria of image definition quality for fine details. Presented method has the following significant property: the quality estimation is provided without test images or patterns. Algorithm for search and recognition of fine structures in the photorealistic images using the predefined criterion is considered.

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“…In our works [9][10] we proposed method of the color differences estimation between the fine detail ( …”

Section: Algorithm For Search and Recognitionmentioning

confidence: 99%

“…Note that compared to the algorithm described in the work [10] we do not use the comparison of the binary blocks to the binary masks. This reduces the number of computation steps significantly.…”

Section: Algorithm For Search and Recognitionmentioning

confidence: 99%

Quality Analyses of Fine Structures Transfer in the Photorealistic Images

Sai¹,

Sai²,

Sorokin³

2013

OJAppS

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“…Search algorithms (Sai & Sorokin, 2008) and (Sai & Sorokin, 2009) of fine details divides the image into the blocks of size 3 x 3 pixels. After this, the recognition of the image blocks using special binary masks is performed.…”

Section: Fig 1 Examples Of Mask For Identifying Dots and Thin Linesmentioning

confidence: 99%

Search Algorithms and Applications

Mansour¹

2011

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“…Therefore the equation (3) will not be objective for the analysis of color transfer distortions of fine details. Works (Sai, 2002) and (Sai, 2003) propose to use the normalized value of the color contrast for estimating the color transfer distortions of fine details: Search algorithms (Sai & Sorokin, 2008) and (Sai & Sorokin, 2009) of fine details divides the image into the blocks of size 3 x 3 pixels. After this, the recognition of the image blocks using special binary masks is performed.…”

mentioning

confidence: 99%