Publication details

Color Texture Restoration

Conference Paper (international conference)

Haindl Michal, Havlíček Vojtěch


serial: IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), p. 13-18

action: 7th IEEE International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), (Siem Reap, KH, 17.07.2015-17.07.2015)

project(s): GA14-10911S, GA ČR

keywords: Texture restoration, Gaussian mixture model

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abstract (eng):

Visual texture restoration strives not necessarily to recover the exact pixel-wise correspondence with some original unobservable texture but rather a texture which is visually indiscernible from the original one. This differs from the standard image restoration objective so it can consequently lead to different restoration techniques. A novel multispectral texture restoration method, capable to reduce simultaneously additive noise and to restore missing textural parts is presented. The restoration method is based on a descriptive, unusually complex, three-dimensional, spatial Gaussian mixture model. The model is inherently multispectral thus it does not suffer with the spectral quality compromises of the most alternative approaches.

RIV: BD