Resumen

WU, B. F. et al. Perceptual Zero-Tree Coding with Efficient Optimization for Embedded Platforms. J. appl. res. technol [online]. 2013, vol.11, n.4, pp.487-495. ISSN 2448-6736.

This study proposes a block-edge-based perceptual zero-tree coding (PZTC) method, which is implemented with efficient optimization on the embedded platform. PZTC combines two novel compression concepts for coding efficiency and quality: block-edge detection (BED) and the low-complexity and low-memory entropy coder (LLEC). The proposed PZTC was implemented as a fixed-point version and optimized on the DSP-based platform based on both the presented platform-independent and platform-dependent optimization technologies. For platform-dependent optimization, this study examines the fixed-point PZTC and analyzes the complexity to optimize PZTC toward achieving an optimal coding efficiency. Furthermore, hardware-based platform-dependent optimizations are presented to reduce the memory size. The performance, such as compression quality and efficiency, is validated by experimental results.

Palabras llave : Computational complexity; image compression; embedded system; optimization.

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