Search results for "Karhunen–Loève theorem"

showing 3 items of 3 documents

Combining Haar Wavelet and Karhunen Loeve Transforms for Medical Images Watermarking

2014

This paper presents a novel watermarking method, applied to the medical imaging domain, used to embed the patient’s data into the corresponding image or set of images used for the diagnosis. The main objective behind the proposed technique is to perform the watermarking of the medical images in such a way that the three main attributes of the hidden information (i.e., imperceptibility, robustness, and integration rate) can be jointly ameliorated as much as possible. These attributes determine the effectiveness of the watermark, resistance to external attacks, and increase the integration rate. In order to improve the robustness, a combination of the characteristics of Discrete Wavelet and K…

Diagnostic ImagingArticle SubjectComputer scienceWavelet Analysislcsh:Medicine02 engineering and technologyGeneral Biochemistry Genetics and Molecular BiologyWaveletRobustness (computer science)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringDigital watermarkingComputer SecurityBlock (data storage)Karhunen–Loève theoremGeneral Immunology and Microbiologybusiness.industryVisibility (geometry)lcsh:RReproducibility of Results020207 software engineeringPattern recognitionWatermarkGeneral MedicineHaar wavelet[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingArtificial intelligencebusinessAlgorithmsResearch Article
researchProduct

New methods for analysing colour texture based on the Karhunen–Loeve transform and quantification

2004

In this article, we offer an original study on the analysis of the texture of colour images based on Local Linear Transforms (LLT). Our colour approach is based on the separability of the data which reduces the number of texture parameters. We also propose the extension of Run Lengths (RL) and Co-occurrence Matrixes (CM) to colour images. In this respect, two different ways were explored (data merging and quantification). We finally present a comparative study showing the efficiency of the first method (LLT) as well as the complementary nature of the other methods (RL, CM).

Karhunen–Loève theoremLocal linearbusiness.industryExtension (predicate logic)Texture (geology)Co-occurrence matrixArtificial IntelligenceSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition
researchProduct

Improving Karhunen-Loeve based transform coding by using square isometries

2002

We propose, for an image compression system based on the Karhunen-Loeve transform implemented by neural networks, to take into consideration the 8 square isometries of an image block. The proper isometry applied puts the 8*8 square image block in a standard position, before applying the image block as input to the neural network architecture. The standard position is defined based on the variance of its four 4*4 sub-blocks (quadro partitioned) and brings the sub-block having the greatest variance in a specific corner and in another specific adjoining corner the sub-block having the second variance (if this is not possible the third is considered). The use of this "preprocessing" phase was e…

Karhunen–Loève theoremTheoretical computer scienceArtificial neural networkCompression (functional analysis)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAlgorithmSquare (algebra)Transform codingData compressionMathematicsBlock (data storage)Image compression
researchProduct