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Fast Image Vector Quantization Using Sparse Oblique Regression Trees

Year: 2025

Type: conference-paper

Source: Proceedings - International Conference on Image Processing

DOI: 10.1109/icip55913.2025.11084406

Authors: Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán

Institution: University of California, Merced

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413278573

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Cites: 11

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Related to: 10