A New Method of Image Compression by Wavelet Combining Huffman Coding

• Main Authors: Chi-Yang Tung, 董啟揚
• Other Authors: Shi-xiong Tu
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/97960665547728924728

碩士 === 中原大學 === 電機工程研究所 === 104 === This study proposes a new method of image compression by wavelet combining Huffman coding in order to reduce storage space, increase transmission speed and make the image quality better. In this thesis, we propose a new method of image compression by introducing Huffman coding. First, we implement image compression by wavelet transform. In this study the wavelet transform is used as our original case and the wavelet combining Huffman coding is as our improvement case. Second, we make the image after the wave let transform to be encode by Huffman coding. Third, we make simulation of image compression by MATLAB. Then we compress color images and gray-level images to calculate the quality of compressed images by PSNR (peak signal-to-noise ratio) value. According to our simulations, the performance of wavelet combining Huffman coding will be significantly better than wavelet transform. The performance also achieves our ideal requirement. In this study, the results of our research are as follows: 1.Reduce Storage Space In this study, we use Huffman coding to encode the image has compressed. It can reduce storage space by using wavelet transform combining Huffman coding. 2.Increase Transmission Speed Due to using Huffman coding to encode the image, we can figure out the file of image is comparatively small than image file of original case. If file image is more small, it is beneficial to increase transmission speed. 3.make the image quality better In this study, we calculate the quality of compressed images by PSNR (peak signal-to-noise ratio) value. So we can know not only image compressed smaller but also better quality