A robust perceptual colour image compression with watermarking

Surabhi, N.; Unnithan, Sreeleja N

doi:10.1109/iccmc.2017.8282736

Cited by 1 publication

(3 citation statements)

References 9 publications

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“…In a number of applied problems of the theory of pattern recognition, preprocessing methods are used based on the formation of a difference image with its subsequent threshold preprocessing: delta modulation [1,13], generalized contour preparation, contouring [7,12], etc. All of them lead to an increase in the noise level of the transformed Images.…”

Section: Analysis Of Literature Data and Problem Statementmentioning

confidence: 99%

“…Let us find a reduction in image noise by sequentially applying one of the smoothing masks ( 14) and one of the differential preprocessing masks (12) or (13). For this, consider the neighborhood 5× 5 elements mn-th image element, which corresponds to a set of readings {𝑞 𝑚+𝑎,𝑛+𝑐 }, 𝑎 = −2.2 ̅̅̅̅̅̅ , 𝑐 = −2.2 ̅̅̅̅̅̅ .…”

Section: Sum-difference Preprocessing By the Neighborhood Of Elementsmentioning

confidence: 99%

“…In turn, recognition has separate tasks that must be solved in order to obtain the most accurate result. This includes the recognition [2,11,13] process itself, image preprocessing for detecting and eliminating interference, dividing image into segments, real-time recognition, etc. One of the urgent tasks in the field of pattern recognition is the task of creating correlation systems for automatic measurement of coordinates [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Use of Q-Preparation for Amplitude Filtering of Discreted Image

Timchenko¹,

Kokriatskaia²,

Rozvodiuk

et al. 2022

IAPGOS

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The article was aimed at improving the amplitude filtering process of the sampled image through the use of generalized Q-preparation. The existing correlation algorithms for image preprocessing were analyzed and their advantages and disadvantages were identified. The process of amplitude filtering and the main methods of preprocessing with such filtering were considered. A method of amplitude filtering of images based on the generalized Q-transformation with the use of sum-difference preprocessing of images has been developed. The efficiency of this method was analyzed, and a variant of the scheme for the corresponding preprocessing of images was proposed. The efficiency of the method was confirmed by computer simulation.

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Section: Analysis Of Literature Data and Problem Statementmentioning

confidence: 99%

Section: Sum-difference Preprocessing By the Neighborhood Of Elementsmentioning

confidence: 99%