Essays about: "thesis image compression by using"
Showing result 1 - 5 of 30 essays containing the words thesis image compression by using.
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1. Construction and evaluation of a lossless image format, Carbonara
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : High-speed laser triangulation 3D cameras, such as the Ranger3 from SICK, transmit image data to a PC for processing. The camera’s operational speed is constrained by the capabilities of the transmission link. By compressing the data, the bandwidth requirements of the camera is reduced. READ MORE
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2. Using Quantization and Serialization to Improve AI Super-Resolution Inference Time on Cloud Platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : AI Super-Resolution is a branch of Artificial Intelligence where the goal is to take a low-resolution image and upscale it into a high-resolution image. These models are usually deep learning models based on Convolutional Neural Networks (CNN) and/or transformers. READ MORE
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3. Finding Corresponding Regions In Different Mammography Projections Using Convolutional Neural Networks
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Mammography screenings are performed regularly on women in order to detect early signs of breast cancer, which is the most common form of cancer. During an exam, X-ray images (called mammograms) are taken from two different angles and reviewed by a radiologist. READ MORE
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4. Investigation of Autoencoders for Jet Images in Particle Physics
University essay from Lunds universitet/Matematisk fysik; Lunds universitet/Partikel- och kärnfysikAbstract : Dark matter is an invisible type of matter believed to make up 85 % of the matter in the universe, but it has not yet been identified by experiments. According to certain particle physics theories, possible signatures of dark matter are so-called dark jets. They are the dark matter equivalent to classic jets, i.e collimated streams of particles. READ MORE
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5. 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