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Everything about Transform coding
Data compression
Transform coding is a type of data compression for "natural" data like audio signals or photographic images. The transformation is typically lossless on its own but is used to enable better quantization, which then results in a lower quality copy of the original input. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Transform codingA 5-minute orientation
- Skim a recent paper: Nonlinear Transform Source-Channel Coding for Semantic CommunicationsInfluential work since 2022
- Pick up a classic book: IEEE standard for bar coding for distribution transformersThe most-reprinted book on the subject
- Read the landmark paper: Image coding using wavelet transformCited 2,566 times
- Go sideways: Lossy compressionA closely related topic
- Go sideways: Nasir Ahmed (engineer)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Image coding using wavelet transform
Image compression through wavelet transform coding
Hadamard transform image coding
Theoretical foundations of transform coding
Nonlinear Transform Coding
Transform picture coding
Adaptive transform coding of speech signals
Transform Coefficient Coding in HEVC
🆕 Influential since 2022
Nonlinear Transform Source-Channel Coding for Semantic Communications
SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding
Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding
Block-Adaptive Point Cloud Attribute Coding With Region-Aware Optimized Transform
Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications
📚 Books worth reading
- 📕IEEE standard for bar coding for distribution transformersIEEE Power Engineering Society. Transformers Committee · 1996
Finite geometry and character theoryAlexander Pott · 1995
Generator, Transformer, Motor, and CompressorJames G. Stallcup, James W. Stallcup · 2011
Programs as data objectsNeil D. Jones · 1986
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Lossy compression In information technology, lossy compression, or irreversible compression, is the class of data compression methods that uses inexact approximations and…
- Nasir Ahmed (engineer) Nasir Ahmed (born 1940) is an American electrical engineer and computer scientist. He is Professor Emeritus of Electrical and Computer Engineering at University…
- Audio coding format An audio coding format, or audio compression format, is an encoded format of digital audio, such as in digital television, digital radio and in audio and…
- Data compression In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original…
- Discrete cosine transform A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies…
- Image compression Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage…
- Pre-echo In audio signal processing, pre-echo, is a digital audio compression artifact where in the reconstructed signal (following an encoding/decoding cycle)…
- Compression artifact In computing, a compression artifact (or artefact) is a noticeable distortion of digital media (including images, audio and video) caused by the application…