图像压缩是图像处理中的一个重要课题，在减少图像尺寸以实时传输和存储方面起着非常重要的作用。许多标准推荐使用DWT进行图像压缩。DWT的计算复杂度对基于DWT的图像压缩算法的实时使用提出了重大挑战。在本文中，我们提出了一种改进的提升方案来计算近似和详细的DWT系数。修正的方程使用右移运算符和6位乘法器。计算中的层级减少到一个，从而最小化延迟和增加吞吐量。ViTEX-5 FPGA上实现的设计工作在180 MHz，功耗小于1W的功率。该设计占用了FPGA上不到1的LUT资源。所开发的体系结构适合于FPGA平台上的实时图像处理。(Image compression is one of the prominent topics in image processing that plays a very important role in reducing image size for real-time transmission and storage. Many of the standards recommend the use of DWT for image compression. The computational complexity of DWT imposes a major challenge for the real-time use of DWT-based image compression algorithms. In this paper, we propose a modified lifting scheme for computing the approximation and detailed coefficients of DWT. The modified equations use, right shift operators and 6-bit multipliers. The hierarchy levels in computation are reduced to one thereby minimizing the delay and increasing throughput. The design implemented on Virtex-5 FPGA operates at 180 MHz and consumes less than 1W of power. The design occupies less than 1 of the LUT resources on FPGA. The architecture developed is suitable for real-time image processing on FPGA platform.)