Essays about: "PSNR in image"

Showing result 6 - 10 of 27 essays containing the words PSNR in image.

  1. 6. AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images

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

    Author : Alexander Mennborg; [2021]
    Keywords : image outpainting; fashion images; product images; image cropping; image resizing; convolutional neural networks; generative adversarial networks;

    Abstract : The e-commerce industry frequently has to deal with displaying product images in a website where the images are provided by the selling partners. The images in question can have drastically different aspect ratios and resolutions which makes it harder to present them while maintaining a coherent user experience. READ MORE

  3. 7. Upscaling of pictures using convolutional neural networks

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Caspar Norée Palm; Hugo Granström; [2021]
    Keywords : super; resolution; convolutional; neural; networks; upscaling; pictures; psnr; u-net; unet;

    Abstract : The task of upscaling pictures is very ill-posed since it requires the creation of novel data. Any algorithm or model trying to perform this task will have to interpolate and guess the missing pixels in the pictures. Classical algorithms usually result in blurred or pixelated interpolations, especially visible around sharp edges. READ MORE

  4. 8. ARMAS: Active Reconstruction of Missing Audio Segments

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Sachin Pokharel; Muhammad Ali; [2021]
    Keywords : Audio Reconstruction; Audio Inpainting; Deep Learning; Machine Learning; Audio Steganography;

    Abstract : Background: Audio signal reconstruction using machine/deep learning algorithms has been explored much more in the recent years, and it has many applications in digital signal processing. There are many research works on audio reconstruction with linear interpolation, phase coding, tone insertion techniques combined with AI models. READ MORE

  5. 9. 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. 10. JPEG-deblocking of Blood Cell Images using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Justin Ma; Julia Hafsbrandt Fovaeus; [2020]
    Keywords : Image Analysis; Image Reconstruction; Image Restoration; Image Compression; Machine Learning; Deep Learning; JPEG; JPEG-deblocking; CellaVision; Neural Networks; Convolutional Neural Networks; Blood Cells; White Blood Cells; Microscopy; Microscope; Mathematics and Statistics;

    Abstract : 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