Walsh–Hadamard Kernel Feature-Based Image Compression Using DCT with Bi-Level Quantization

Walsh–Hadamard Kernel Feature-Based Image Compression Using DCT with Bi-Level Quantization

To meet the high bit rate requirements in many multimedia applications, a lossy image compression algorithm based on Walsh–Hadamard kernel-based feature extraction, discrete cosine transform (DCT), and bi-level quantization is proposed in this paper. The selection of the quantization matrix of the b...

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Bibliographic Details
Main Authors: Dibyalekha Nayak, Kananbala Ray, Tejaswini Kar, Chiman Kwan
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Computers
Subjects:
DCT
JPEG
WHT
Multiple Feature Extraction
K-means
Online Access:https://www.mdpi.com/2073-431X/11/7/110

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