Sökning: "Peak Signal to Noise Ratio PSNR"

Visar resultat 6 - 10 av 18 uppsatser innehållade orden Peak Signal to Noise Ratio PSNR.

  1. 6. 2D SPECTRAL SUBTRACTION FOR NOISE SUPPRESSION IN FINGERPRINT IMAGES

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Författare :Sai Venkata Satya Siva Kumar Dandu; Sujit Kadimisetti; [2017]
    Nyckelord :Spectral Subtraction; Peak Signal to Noise Ratio PSNR ; Structural Similarity Index SSIM .;

    Sammanfattning : Human fingerprints are rich in details called the minutiae, which can be used as identification marks for fingerprint verification. To get the details, the fingerprint capturing techniques are to be improved. Since when we the fingerprint is captured, the noise from outside adds to it. LÄS MER

  3. 7. Re-texturing and compositing new material on pre-rendered media : Using DirectX and UV sampling

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för kreativa teknologier

    Författare :Jesper Blidkvist; Joakim Westgren; [2016]
    Nyckelord :Compositing; Re-Texturing; DirectX;

    Sammanfattning : Context: This thesis investigates a new method for re-texturing and com- positing new or additional material on specific pre-rendered images using various blend equations. This is done by sampling a number of render passes created alongside the original source material, most notably a UV pass for accurate texture positioning and different lighting passes to enhance the control over the final result. LÄS MER

  4. 8. Empirical Study on Quantitative Measurement Methods for Big Image Data : An Experiment using five quantitative methods

    Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Författare :Ramya Ramya Sravanam; [2016]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 9. Compressive Sensing applied on a Video Signal

    Uppsats för yrkesexamina på avancerad nivå, KTH/Signalbehandling

    Författare :EMANUEL SVENNÉRUS; [2015]
    Nyckelord :;

    Sammanfattning : Compressive Sensing has attracted a lot of attention over the last decade within the areas of applied mathematics, computer science and electrical engineering because of it suggesting that we can sample a signal under the limit that traditional sampling theory provides. By then using dierent recovery algorithms we are able to, theoretically, recover the complete original signal even though we have taken very few samples to begin with. LÄS MER

  7. 10. Evaluating the CU-tree algorithm in an HEVC encoder

    Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Vladimir Grozman; [2015]
    Nyckelord :CU-tree; HEVC; AQP; video; codec; MB-tree;

    Sammanfattning : CU-tree (Coding Unit tree) is an algorithm for adaptive QP (quantization parameter). It runs in the lookahead and decreases the QP of blocks that are heavily referenced by future blocks, taking into account the quality of the prediction and the complexity of the future blocks, approximated by the inter and intra residual. LÄS MER