pngnq 1.0-2ubuntu2 source package in Ubuntu

Changelog

pngnq (1.0-2ubuntu2) vivid; urgency=low

  * Update Homepage.
 -- <email address hidden> (Jay R. Wren)   Tue, 16 Dec 2014 10:12:37 -0500

Upload details

Uploaded by:
Jay R. Wren
Sponsored by:
Sebastien Bacher
Uploaded to:
Vivid
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
graphics
Urgency:
Low Urgency

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Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
pngnq_1.0.orig.tar.gz 102.7 KiB 3413cb72af4e1a25268892ad182f6f9f516c5b67d9ff873968e5a60c293c00a7
pngnq_1.0-2ubuntu2.diff.gz 4.8 KiB da73ad8bce5162ddf37cac9b5ad97aa4321f4895b7dc1f78d1c651c4133a0293
pngnq_1.0-2ubuntu2.dsc 1.1 KiB b9d54c4427c20a69e0d706781fdc07b02cfeae7bf9bcf5fb7ac9c9d414cbb34c

Available diffs

View changes file

Binary packages built by this source

pngnq: tool for optimizing PNG (Portable Network Graphics) images

 Pngnq is a tool for quantizing 32-bit RGBA PNG images to 8-bit RGBA pallete
 PNG. It's is an adaptation by Stuart Coyle of Greg Roelf's pnqquant. While
 pngquant uses a median cut algorithm, Pngnq uses Anthony Dekker's neuquant
 algorithm (http://members.ozemail.com.au/~dekker/NEUQUANT.HTML), generally
 resulting in better looking results than pngquant.
 .
 Optimizers (like pngcrush and optipng) optimize the compression, usually
 losslessly. pngnq quantizes colors down to 256 (or fewer) distinct RGBA
 combinations, which is quite lossy. Optimized PNGs are usually two to four
 times smaller than the 32-bit versions.

pngnq-dbgsym: debug symbols for package pngnq

 Pngnq is a tool for quantizing 32-bit RGBA PNG images to 8-bit RGBA pallete
 PNG. It's is an adaptation by Stuart Coyle of Greg Roelf's pnqquant. While
 pngquant uses a median cut algorithm, Pngnq uses Anthony Dekker's neuquant
 algorithm (http://members.ozemail.com.au/~dekker/NEUQUANT.HTML), generally
 resulting in better looking results than pngquant.
 .
 Optimizers (like pngcrush and optipng) optimize the compression, usually
 losslessly. pngnq quantizes colors down to 256 (or fewer) distinct RGBA
 combinations, which is quite lossy. Optimized PNGs are usually two to four
 times smaller than the 32-bit versions.