How to Install and Uninstall libxbrz-1_7 Package on openSUSE Leap
Last updated: December 24,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "libxbrz-1_7" package
Please follow the instructions below to install libxbrz-1_7 on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
libxbrz-1_7
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2. Uninstall "libxbrz-1_7" package
This tutorial shows how to uninstall libxbrz-1_7 on openSUSE Leap:
$
sudo zypper remove
libxbrz-1_7
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3. Information about the libxbrz-1_7 package on openSUSE Leap
Information for package libxbrz-1_7:
------------------------------------
Repository : Main Repository
Name : libxbrz-1_7
Version : 1.7-bp153.1.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 486,9 KiB
Installed : No
Status : not installed
Source package : xbrz-1.7-bp153.1.15.src
Summary : Pattern recognition rule-based bitmap upscaler
Description :
The idea of xBR is to scale bitmaps using pattern recognition (like
HQx), but also uses a 2-stage set of interpolation rules, which
better handle more complex patterns such as antialiased lines and
curves. Background textures keep the sharp characteristics of the
original image rather than becoming blurry like with HQx.
xBRZ follows this idea, but has a different set of rules, focusing on
preserving small image features consisting of few pixels only, like
commonly used in faces.
------------------------------------
Repository : Main Repository
Name : libxbrz-1_7
Version : 1.7-bp153.1.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 486,9 KiB
Installed : No
Status : not installed
Source package : xbrz-1.7-bp153.1.15.src
Summary : Pattern recognition rule-based bitmap upscaler
Description :
The idea of xBR is to scale bitmaps using pattern recognition (like
HQx), but also uses a 2-stage set of interpolation rules, which
better handle more complex patterns such as antialiased lines and
curves. Background textures keep the sharp characteristics of the
original image rather than becoming blurry like with HQx.
xBRZ follows this idea, but has a different set of rules, focusing on
preserving small image features consisting of few pixels only, like
commonly used in faces.