Essays about: "jpeg compression"
Showing result 1 - 5 of 22 essays containing the words jpeg compression.
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1. 3D Reconstruction of Small SolarSystem Bodies using Rendered and Compressed Images
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Synthetic image generation and reconstruction of Small Solar System Bodies and theinfluence of compression is becoming an important study topic because of the adventof small spacecraft in deep space missions. Most of these missions are fly-by scenarios,for example in the Comet Interceptor mission. READ MORE
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2. 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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3. Gaze-based JPEG compression with varying quality factors
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: With the rise of streaming services such as cloud gaming, a fast internet speed is required for the overall experience. The average internet connection is not suited for the requirements that cloud gaming require. A high quality and frame rate is important for the experience. READ MORE
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4. A Resource Efficient, HighSpeed FPGA Implementation of Lossless Image Compression for 3D Vision
University essay from Linköpings universitet/DatorteknikAbstract : High speed laser-scanning cameras such as Ranger3 from SICK send 3D images with high resolution and dynamic range. Typically the bandwidth of the transmission link set the limit for the operational frequency of the system. READ MORE
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5. HOW IMAGE DOWNSCALING AND JPEG COMPRESSION AFFECTS IMAGE CLASSIFICATION PERFORMANCE - An experimental study
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : the quality of an image plays a role in how well it can be correctly classified by an image classifying neural network. Artifacts such as blur and noise reduces classifilability. At the same time it is often motivated to reduce file sizes of images which also tends to introduce artifacts and reduce their quality. READ MORE