English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Image Reconstruction by Linear Programming

Tsuda, K., & Rätsch, G.(2003). Image Reconstruction by Linear Programming (118). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DB51-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-8B4C-D
Genre: Report

Files

show Files
hide Files
:
MPIK-TR-118.pdf (Publisher version), 338KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0002-8B4D-C
Name:
MPIK-TR-118.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Tsuda, K1, 2, Author           
Rätsch, G1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: A common way of image denoising is to project a noisy image to the subspace of admissible images made for instance by PCA. However, a major drawback of this method is that all pixels are updated by the projection, even when only a few pixels are corrupted by noise or occlusion. We propose a new method to identify the noisy pixels by `1-norm penalization and update the identified pixels only. The identification and updating of noisy pixels are formulated as one linear program which can be solved efficiently. Especially, one can apply the ν-trick to directly specify the fraction of pixels to be reconstructed. Moreover, we extend the linear program to be able to exploit prior knowledge that occlusions often appear in contiguous blocks (e.g. sunglasses on faces). The
basic idea is to penalize boundary points and interior points of the occluded area differently. We are able to show
the ν-property also for this extended LP leading a method which is easy to use. Experimental results impressively
demonstrate the power of our approach.

Details

show
hide
Language(s):
 Dates: 2003-10
 Publication Status: Issued
 Pages: 12
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 118
BibTex Citekey: 2420
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Technical Report of the Max Planck Institute for Biological Cybernetics
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 118 Sequence Number: - Start / End Page: - Identifier: -