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
See full publishing history Publishing
Series | Published | Component | Section |
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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
- diff from 1.0-2ubuntu1 to 1.0-2ubuntu2 (539 bytes)
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.