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随着大规模集成电路技术迅速发展,利用硬件实现静态图像的二维差值脉冲编码调制(以下简称2D—DPCM)比过去更容易,但电路仍然比较复杂,在此我们试用SDK—85单板机对静态图像作2D—DPCM处理。对数字化后的静态图像(256×256×6比特),采用一种结构简单,易于实现的平均预测方案,用SDK—85单板机作2D—DPCM处理,然后以4比特/像素的格雷码送入信道,获得的图像质量较好。(参见附图) 文中主要介绍平均预测方案的原理;给出用SDK—85单板机实现2D—DPCM的流程图,简要说明程序设计中的一些问题及实验结果。
With the rapid development of large-scale integrated circuit technology, two-dimensional differential pulse code modulation (hereinafter referred to as 2D-DPCM) using hardware to achieve still images is easier than ever before, but the circuit is still relatively complicated. Here we try the SDK-85 board Machine for static images for 2D-DPCM processing. For the digitized still image (256 × 256 × 6 bits), a simple and easy-to-implement average prediction scheme is adopted. 2D-DPCM processing is performed with the SDK-85 single board machine, and then the 4-bit / Into the channel, get better image quality. (See the attached figure.) The paper mainly introduces the principle of average prediction scheme. The flow chart of implementing 2D-DPCM with SDK-85 single-board computer is given. Some problems in programming and the experimental results are briefly described.