Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Lossy PNG for true-color images (Velocity Conf ...
Search
Kornel Lesiński
November 18, 2014
Design
920
2
Share
Lossy PNG for true-color images (Velocity Conf EU 2014)
Kornel Lesiński
November 18, 2014
More Decks by Kornel Lesiński
See All by Kornel Lesiński
SudWeb
kornel
0
250
Modern PNG compressors
kornel
13
1.2k
Handling binary data in JS
kornel
1
420
Mobblestouch — W3C Touch Events and gestures
kornel
2
760
Server-Sent Events
kornel
5
1k
"HTML5" Transport Protocol
kornel
3
420
Front-end Performance
kornel
5
530
Other Decks in Design
See All in Design
decksh object reference
ajstarks
2
1.6k
2026年の勢い / Momentum for 2026
bebe
0
450
「デザイン」の自分ごと化から始める、デザインピープルのふるまい
mewmo
0
250
デザイナーとエンジニアで 同じ山に登ろう
moco1013
0
240
富山デザイン勉強会_デザイントレンド2026.pdf
keita_yoshikawa
3
210
UI/UX & Web Design Portfolio 2025|Madoka Kumagai
madoka_portfolio
4
240
設計と制作 意図を形に表す / Design and Making: Intent Made Form
usagimaru
3
1.9k
エンジニアがAI活用してスライドデザインできる世界が来たよ!
kaikou
1
150
デザインを信じていますか
sekiguchiy
1
1.2k
保育現場にAIを 〜人と技術に橋を架けるデザインで考えてきたこと〜 uiuxcamp2026-hoiku-ai-design
hiro93n
1
270
Signull 団体説明資料
signull
0
630
20251128_武蔵野美術大学InnovationDay_参加型の未来
a2k
1
130
Featured
See All Featured
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
760
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
130
Code Reviewing Like a Champion
maltzj
528
40k
The World Runs on Bad Software
bkeepers
PRO
72
12k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
520
Designing for Performance
lara
611
70k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.8k
Believing is Seeing
oripsolob
1
140
Music & Morning Musume
bryan
47
7.2k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
400
Building a Scalable Design System with Sketch
lauravandoore
463
34k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
38
2.9k
Transcript
Lossy PNG Kornel Lesiński 2014
PNG Lossless JPEG Lossy
PNG PNG JPEG Lossless Lossy PNG Opaque Alpha Channel WebP
JPEG 2000 JPEG XR JPEG XT if you need lossy and alpha, it becomes complicated. You may need to serve 4 different files for every image!
flickr.com/photos/ama711/8760361969 0% 100% Lossy PNG is a hack, but it
works like a truly lossy format
Pixels Math gzip Standard PNG
None
gzip finds and removes repeated sequences of identical pixels
00000000 00000001 00000010 00000011 00000100 00000101 00000110 00000111 00001000 00001001
00001010 0 10 110 1110 11110 111110 1111110 11111110 111111110 1111111110 11111111110 → → → → → → → → → → → Instead of storing 8 bits per byte, gzip uses variable-length sequences. Most popular bytes are given shortest sequences.
Some images don’t have repeated pixels and few very popular
colors
0 1 2 3 4 5 6 7 8 9
0 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 = = Instead of storing uncompressible absolute values PNG can store difference between neighboring pixels
5 6 4 6 5 5 6 4 5 4
5 + 1 -2 +2 - 1 0 + 1 -2 + 1 - 1 = = 5 0 0 0 0 0 0 0 0 0 0 Noisy images won’t compress well… unless you fake the data and remove the noise
Pixels Math gzip Lies Lossy PNG trick is about replacing
math with lies. Only the encoder changes, so it’s 100% compatible.
? When PNG “guesses” what the next pixel will be,
it can make the guess based on average of 2 neighbors, which in lossy PNG causes blur
flickr.com/photos/tundra-ice/5124841152 Original: 2MB 0.6MB 0.3MB
Original: 2MB 0.6MB 0.3MB
Original: 221KB Lossy: 67KB ed_g2s
182KB flickr.com/photos/_tar0_/6223343149
27KB flickr.com/photos/_tar0_/6223343149 The algorithm can decide quality of every pixel,
so it tends to preserve sharp edges, especially text
28KB flickr.com/photos/_tar0_/6223343149 Top of the file has 0% quality, bottom
80% quality
• Works everywhere—fully backwards-compatible • No color limit—supports 24 and
32-bit PNG • Preserves edges—per-pixel quality control • Very fast—small tweak in the encoder • Streamable—only needs 2 lines of the image
pngquant -Q 75-100 --skip-if-larger \ -o out.png in.png || posterize
-b -Q 75 in.jpg out.jpg pngquant is often more efficient, but can’t guarantee quality. You can combine the two for best results.
pngmini.com — ImageAlpha GUI github.com/pornel/mediancut-posterizer CLI logicnet.dk/Analyzer — Image Analyzer
GUI @pornelski pngmini.com/lossypng.html