Essays about: "Peak Signal to Noise Ratio PSNR"

Showing result 1 - 5 of 18 essays containing the words Peak Signal to Noise Ratio PSNR.

1. 1. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alex Peschel; [2023]
   Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

   Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE

3. 2. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : William Tirmén; [2023]
   Keywords : Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

   Abstract : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. READ MORE

4. 3. Noise Reduction of Scintillation Camera Images Using UNET: A Monte Carlo Simulation Approach

   University essay from Lunds universitet/Sjukhusfysikerutbildningen

   Author : Johanna Korpijärvi; [2021]
   Keywords : Medicine and Health Sciences;

   Abstract : Background The project aims to reduce the noise in planar 111-In projections with a machine learning model. Method Sixteen base phantoms were used to create 696 phantoms in XCAT. An anterior planar projection was simulated with 111-In and ten uptake curves for each phantom in SIMIND. READ MORE

5. 4. Deep Learning based Video Super- Resolution in Computer Generated Graphics

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Vinit Jain; [2020]
   Keywords : Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.; Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.;

   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

6. 5. Performance Comparison of Image Enhancement Algorithms Evaluated on Poor Quality Images

   University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

   Author : Aravind Eswar Ravi Raja Kotha; Lakshmi Ratna Hima Rajitha Majety; [2017]
   Keywords : Image Enhancement; Retinex; Bilateral Filter; Bilateral Tone Adjustment; PSNR; Entropy; AFIS;

   Abstract : Many applications require automatic image analysis for different quality of the input images. In many cases, the quality of acquired images is suitable for the purpose of the application. However, in some cases the quality of the acquired image has to be modified according to needs of a specific application. READ MORE