Researching Wavelet Transform Coding And Quality Evaluation Methods Of Image Based Human Visual System

The technologies of the compression of digital image act key role to storing and transferring of multimedia information. Transform coding is the most extensive mainstream coding technology, and the discrete cosine transform and discrete wavelet transform were used widely. The coding method based Shannon information theory had developed to the limit. For the development of digital image compression, finding another coding method is efficient approach, so it will promote the development of digital image compression technologies.As perfect time-frequency analyzing tool, wavelet transform is used widely in signal processing and image compression. In this paper we first research the theory of wavelet transform then describe the JPEG2000 standard that was developed in recently years in detail. Based on the verification model of JPEG2000 analyzing numbers and choosing of wavelet base in wavelet transform was discussed in detail in image compression and an uniform implementation method of lifting scheme was put forward, so we can use different wavelet base with the image context in digital image compression.Comparing to the DCT(discrete cosine transform), the realizing of DWT(discrete wavelet transform) is more complex, so solving the fast calculating of DWT is vej-y significative to use widely DWT. With discussing the relationship of lifting scheme and convolution of DWT, we design a hardware platform for JPEG2000 standard. The platform uses ARM micro-processor and FPGA chip. The hardware implementation of JPEG2000 algorithm can be debugged and analyzed on it, specially the hardware implementation of DWT is researched. We propose a biorthogonal wavelet base constructed method on frequency domain based free factor and construct a series of biorthogonal wavelet bases. These wavelet bases are low computation complexity and easily implemented on hardware. "Combining the verification model of JPEG2000 and human visual system (HVS), we propose three methods that using HVS to the digital image compression for improving the reconstruction image visual quality. 1) In multi-level wavelet transform of digital image the important coefficients information to human eyes is concentrated in the third, forth and low frequency grades. Through weighting the wavelet coefficients, the...