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Everything about Quantization (image processing)
Lossy compression technique
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. For example, reducing the number of colors required to represent a digital image makes it possible to reduce its file size. Specific applications include DCT data quantization in JPEG and DWT data quantization in JPEG 2000. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Quantization (image processing)A 5-minute orientation
- Skim a recent paper: Implementasi Learning Vector Quantization untuk Klasifikasi Jenis Buah Kelapa menggunakan Image ProcessingInfluential work since 2022
- Pick up a classic book: A comparison of model-based VQ compression with other VQ approachesThe most-reprinted book on the subject
- Read the landmark paper: Using vector quantization for image processingCited 71 times
- Go sideways: Quantization (signal processing)A closely related topic
- Go sideways: Rabi problemA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Using vector quantization for image processing
Data embedding for vector quantization image processing on the basis of adjoining state-codebook mapping
Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for Image Processing
Vector-based signal processing and quantization for image and video compression
An image segmentation method based on the fusion of vector quantization and edge detection with applications to medical image processing
Quantization Noise of Multilevel Discrete Wavelet Transform Filters in Image Processing
Color Quantization Application Based on K-Means in Remote Sensing Image Processing
Removing the quantization error by repeated observation (image processing)
🆕 Influential since 2022
📚 Books worth reading
- 📕A comparison of model-based VQ compression with other VQ approachesMareboyana Manohar · 1995
- 📕Direct volume rendering with shading via three-dimensional texturesAllen Van Gelder · 1996
- 📕[High performance compression of science data]James A. Storer · 1994
- 📕Gressive vector quantization on a massively parallel SIMD machine with application to multispectral image dataMareboyana Manohar · 1994
- 📕Digital GeometryReinhard Klette, Azriel Rosenfeld · 2004
Digital geometryReinhard Klette · 2004- 📕[An efficient system for reliably transmitting image and video data over low bit rate noise]Daniel J. Costello · 1994
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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