JOURNAL ARTICLE

Wavelet coding of image using quadtree representation and block entropy coding

Abstract

A new efficient image coding scheme, based on quadtree representation and block entropy coding (QRBEC), for encoding the wavelet transform coefficients of images is presented. The property of HVS is also incorporated into the quantization process. In addition, how to flexibly control the quantization level as well as output bitrate of the coder is also investigated. The coding efficiency of the coder is quite competitive with the well-known EZW coder, and requires less computation burden. The proposed coding scheme can also be applied in image sequence coding, resulting in satisfactory performance.

Keywords:
Quadtree Tunstall coding Entropy encoding Computer science Artificial intelligence Wavelet Wavelet transform Context-adaptive binary arithmetic coding Coding tree unit Variable-length code Quantization (signal processing) Algorithm Vector quantization Coding (social sciences) Computer vision Transform coding Arithmetic coding Mathematics Data compression Discrete cosine transform Decoding methods Image (mathematics)

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Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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