Essays about: "Structural Similarity Index Metric"
Showing result 1 - 5 of 7 essays containing the words Structural Similarity Index Metric.
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1. Using Approximate Computing Circuits to Optimize Power of an ASIC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. READ MORE
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2. Unsupervised Image-to-image translation : Taking inspiration from human perception
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Generative Artificial Intelligence is a field of artificial intelligence where systems can learn underlying patterns in previously seen content and generate new content. This thesis explores a generative artificial intelligence technique used for image-toimage translations called Cycle-consistent Adversarial network (CycleGAN), which can translate images from one domain into another. READ MORE
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3. 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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4. Cluster-based Sample Selection for Document Image Binarization
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : The current state-of-the-art, in terms of performance, for solving document image binarization is training artificial neural networks on pre-labelled ground truth data. As such, it faces the same issues as other, more conventional, classification problems; requiring a large amount of training data. READ MORE
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5. Empirical Study on Quantitative Measurement Methods for Big Image Data : An Experiment using five quantitative methods
University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikAbstract : Context. With the increasing demand for image processing applications in multimedia applications, the importance for research on image quality assessment subject has received great interest. READ MORE