Artifacts suppression in images and video
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Artifacts suppression in images and video. Volodymyr Fedak. Introduction. What is the problem? Why is it important? What did I do? What are the results? So what next?. What is the problem?. blocking ringing blurring flickering. What is the problem?. F - 2. F - 1. F. F + 1. F + 2.

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Artifacts suppression in images and video

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Artifacts suppression in images and video

Artifacts suppression in images and video

Volodymyr Fedak


Introduction

Introduction

  • What is the problem?

  • Why is it important?

  • What did I do?

  • What are the results?

  • So what next?


What is the problem

What is the problem?

  • blocking

  • ringing

  • blurring

  • flickering


What is the problem1

What is the problem?

F - 2

F - 1

F

F + 1

F + 2

Intra-frame processing…

Inter-frame processing…


Why is it important

Compressed information

De-coder

Artifact detection

Reducing artifacts

Transform to original format

Enhanced

information

Coder parameters

postprocessing

Why is it important ?

Postprocessing techniques:

  • spatial-temporal algorithmsalgorithms that transform signal to frequency domain

  • motion-compensated algorithmsiterative approaches based on the theory of projections onto convex set


What did i do

What did I do ?

  • Analyse modern postprocessing techniques

  • Implement most encouraging methods

  • Compare results of mentioned algorithms

  • Propose approaches for optimization


Wavelet based de blocking and de ringing algorithm proposed by alan and liew

Wavelet-based de-blocking and de-ringing algorithm proposed by Alan and Liew

  • Steps:

  • Detection of Block Discontinuities

  • Threshold Maps Generation at Different Wavelet Scales

  • low frequency filtering


Non local means

Non-Local Means

NLM is an improvement of Bilateral filtering

C(y, x) - geometric relationship

S(I(y), I(x)) - luminance ratio

I(y) – pixel luminance


Non local means1

NLM could be presented:

in general way:

in terms of implementation:

v(i) – noisy image

W(i, j) - weighted average of pixels in the image

v(j) – pixel luminance

Non-Local Means

N(x) - window surrounding pixel x;

Q(x) is a search window around pixel x;


Non local means parameters

Non-Local Means Parameters

  • h - determines the amount of averaging (h increases amount of blocking artifacts decrease).

  • N (x) – the match window/patch – when N(x) increases, blocking artifacts of the processed sequence decreases very slowly

  • Q(x) – the search window/patch – when Q(x) increases, artifacts of the processed sequence decreases very slowly for an increasing value of the search window size, and we have a large amount of computation time.


Possible ways for optimization

Possible ways for optimization:

  • Extended NLM to the temporal domain . Use together with motion-compensation algorithm but apply some quality coefficient to the motion vector.

  • Add smart patch/search window size choosing algorithm.

  • Use Hierarchical block matching algorithm to find similar windows for speeding-up NLM


Any questions

Any questions ?


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