Multidirectional vector edge enhancers based on nonlinear operation

Autor: Kaijun Tang, Yrjö Neuvo

Publikováno v: Tang, K & Neuvo, Y 1996, ' Multidirectional vector edge enhancers based on nonlinear operation ', Signal Processing, vol. 50, no. 3, pp. 233-239 . https://doi.org/10.1016/0165-1684(96)00017-5

Multidirectional vector edge enhancers based on nonlinear operation for color image processing are proposed. In the filters, a few subfilters are used in conjunction with the vector median and decision operations, each subfilter performing noise atte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0a4103b336e73910bfc7d6b2bb8c4c2
https://doi.org/10.1016/0165-1684(96)00017-5

Detail-preserving edge enhancing filters

Autor: Kaijun Tang, Yrjö Neuvo

Publikováno v: [Proceedings 1992] IEEE International Conference on Systems Engineering.

The authors propose a class of detail-preserving edge enhancing filters which consist of multiple substructures, each performing noise attenuation. The filters shown have a certain detail preserving ability while enhancing blurred edges. The root sig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2dbcc187b0833099546472ea0771a017
https://doi.org/10.1109/icsyse.1992.236960

Multichannel edge-enhancing technique

Autor: Kaijun Tang, Yrjö Neuvo

Publikováno v: SPIE Proceedings.

In this paper, a multichannel edge enhancing filter (MEEF) applied to color image processing is proposed to improve the degraded edges in color TV picture which are classified as the following cases: the blurred edges caused by unfocusing or fast shi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9772c2269c9179b9d08341aa3d4802ab
https://doi.org/10.1117/12.58374

Adaptive Nonlinear Multivariate Image Filtering for Mixed Noise Removal

Autor: Jaakko Astola, Yrjö Neuvo, Kaijun Tang

Publikováno v: Tampere University
ISCAS

An adaptive nonlinear multivariate image filtering method with particular applications to color image processing is presented. A multivariate estimate is formed according to the rule that it is the input sample in the current window which has the min

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43e1c0a207a7c848de6696c0e7a328ed
https://tutcris.tut.fi/portal/en/publications/adaptive-nonlinear-multivariate-image-filtering-for-mixed-noise-removal(5d05ce90-d1bd-46a7-94e7-6120a320e7c8).html

Multivariate Ordering and Filtering with Application to Color Image Processing

Autor: Kaijun Tang, Jaakko Astola, Yrjö Neuvo

Publikováno v: Tampere University

In this paper, the extension of the concepts of univariate ordering and order statistic filtering to multivariate case is investigated. The multivariate samples are processed as vectors as opposed to componentwise scalar processing. First, three type

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::351105188005ed0bc9bb37fb62ffcfbe
https://tutcris.tut.fi/portal/en/publications/multivariate-ordering-and-filtering-with-application-to-color-image-processing(15b74aa9-be86-4784-aca3-a0028675e320).html