Search results for "Transform coding"

showing 3 items of 13 documents

Use of H.264 real-time video encoding to reduce display wall system bandwidth consumption

2015

This paper compares the DXT and JPEG image compression techniques used in display wall solutions SAGE and DisplayCluster with hardware accelerated H.264 video encoding that is used in the display wall system developed by the authors of this paper. The obtained processing power usage and generated bandwidth measurements presented in this paper demonstrate that hardware accelerated H.264 encoding offers multiple benefits over software implemented H.264, DXT and JPEG.

business.industryComputer scienceBandwidth (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONData_CODINGANDINFORMATIONTHEORYcomputer.file_formatJPEGPower usageReal time videoSoftwareJpeg image compressionbusinesscomputerComputer hardwareTransform codingData compression2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
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Merging the transform step and the quantization step for Karhunen-Loeve transform based image compression

2000

Transform coding is one of the most important methods for lossy image compression. The optimum linear transform - known as Karhunen-Loeve transform (KLT) - was difficult to implement in the classic way. Now, due to continuous improvements in neural network's performance, the KLT method becomes more topical then ever. We propose a new scheme where the quantization step is merged together with the transform step during the learning phase. The new method is tested for different levels of quantization and for different types of quantizers. Experimental results presented in the paper prove that the new proposed scheme always gives better results than the state-of-the-art solution.

business.industryFractal transformVector quantizationTop-hat transformPattern recognitionArtificial intelligencebusinessQuantization (image processing)S transformTransform codingFractional Fourier transformData compressionMathematicsProceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium
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A Digital Watermarking Algorithm Based on Quantization of the DCT: Application on Medical Imaging

2013

International audience; The objective of this paper is to elaborate a new watermarking algorithm applied to the medical imaging. This algorithm must be invisible, robust and has a rate, relatively high, integrating data. The proposed method uses the standard JPEG compression for the integration of medical data. The insertion block is inserted just after the quantization phase. To control identification and eventually the correction (if possible) of the inserted data, we use a series of turbocodes to recover the inserted data, after application of several attacks. The simulation studies are applied on MRI medicals images.

business.industry[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingMedical imagingJpeg compressionDiscrete cosine transformTurbo codeComputer visionArtificial intelligencebusinessQuantization (image processing)Digital watermarkingAlgorithmTransform codingData compressionMathematics
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