Improved Image Compression Scheme Using Hybrid Encoding Algorithm

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Yusra Ahmed Salih Aree Ali Mohammed Loay Edwar George

Abstract

A color image compression is the most challenging task in the field of multimedia. During last decades several techniques are developed for improving the quality, coding time and compression ratio using different coding strategies. In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). This paper's primary participation is to take advantage of the hybrid encoding technique to maintain the quality of the reconstructed image and the reduction of time complexity. The sample test images are taken from both standard image database and high-quality images (SD and HD). The performance of the proposed scheme is evaluated by using different metrics such as (PSNR, compression ratio and encoding time). Test results indicate that the time and compression ratio of encoding are improved in the expense of the image quality.

Keywords

Hybrid coding, DWT, Adaptive quantization, PSNR, ‎Compression ratio, Encoding time.‎

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References

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