Essays about: "Image Compression"
Showing result 21 - 25 of 112 essays containing the words Image Compression.
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21. Deep Learning based Video Super- Resolution in Computer Generated Graphics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. READ MORE
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22. JPEG-deblocking of Blood Cell Images using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis investigates the use of convolutional neural networks as a reconstruction or JPEG- deblocking model for JPEG-compressed blood cell images, needed due to the well known block artifacts caused by JPEG-compression. CellaVision develops automated microscopy for blood analysis that detects and classifies blood cells from images. READ MORE
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23. Lossless Image compression using MATLAB : Comparative Study
University essay from Blekinge Tekniska HögskolaAbstract : Context: Image compression is one of the key and important applicationsin commercial, research, defence and medical fields. The largerimage files cannot be processed or stored quickly and efficiently. Hencecompressing images while maintaining the maximum quality possibleis very important for real-world applications. READ MORE
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24. Evaluating Image Compression Methods on Two DimensionalHeight Representations
University essay from Linköpings universitet/InformationskodningAbstract : .... READ MORE
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25. Characterizing Video Compression Using Convolutional Neural Networks
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Can compression parameters used in video encoding be estimated, given only the visual information of the resulting compressed video? If so, these parameters could potentially improve existing parametric video quality estimation models. Today, parametric models use information like bitrate to estimate the quality of a given video. READ MORE