Embedded Block Coding Using Wavelet Transform With Optimized Truncation Image Compression

Large amount of data will give the image information storage memory, communications lines and the channel bandwidth and computer processing speed increases tremendous pressure- Simply by increasing the memory capacity, higher channel bandwidth and computer processing speed and other methods to solve this problem is not realistic, then we must consider compression- Therefore, wavelet transform and optimize the use of truncated embedded block coding for image compression with high compression ratio, lossy and lossless compression, progressive image transmission, ROI coding, random access image data, superior fault tolerance and so onIn this paper, based on lifting scheme of integer wavelet transform to image compression, and achieved good compression- This work includes the following aspects:1, the "upgrade" program to achieve the integer wavelet transform- Integer lifting wavelet transform with: computing fast, able to transform any image size can be completed in the current location of the wavelet transform, save memory, etc-, and the improved algorithms can be lossless or lossy image compression, and therefore more suitable for image compression system- This paper selected Le Gall (5 / 3) wavelet is used to realize the true meaning of lossless compression, select the CDF (9 / 7) wavelet is used to achieve lossy compression.2, grayscale and color images to achieve compression- For color images from a RGB color space to YCbCr color space conversion, and further improve the compression ratio.3, using the ROI (ROI) image coding techniques- Image compression ratio and solve the contradiction between high quality, that is, raising the compression ratio of the whole image, and ROI to ensure high-quality images to meet the image storage requirements.4, gradient information of the wavelet-based image enhancement technology to improve the image contrast. 5, to achieve BMP bitmap file format to JPEG, PCX, LZW, IMG file format conversion.In this paper, to achieve a compression performance, transmission performance, better compression algorithms- By comparison and analysis of experiments, this algorithm does not affect image performance under the premise of increased compression ratio, a better solution to image storage, transmission problems.In this paper, based on the theoretical study, using Visual C + + 6-0 to achieve a good man-machine interface of the image compression system (MICS), the system can achieve this in addition to the image compression algorithm, but also the region of interest with an arbitrary choice, color decomposition image of the component functions, has some practical value.