Realization of Fast Gradient Adjusted Prediction Method for Image Compression on FPGA

Abstract

Abstract: Gradient adjusted prediction (GAP) is an efficient prediction method for lossless compression of continuous image. However, it needuse large mount of time to realize this method in calculating absolute value and branch of program on hardware system. So this paper provides anoptimized arithmetic to realize GAP in FPGA.

摘要： GradientAdjustedPrediction(GAP)是一种有效的图像预测方法,该方法通过计算梯度预测当前像素值,特别适用于连续图像的无损压缩。梯度计算需要大量的求“差的绝对值”计算,对于硬件实现需要大量的计算时间。不同的梯度需要不同的程序分支,造成了程序多次跳转,不利于硬件汇编程序的实现。该文针对这两个问题,提出了使用FPGA实现GAP预测的快速方法。

关键词: GAP预测, FPGA, 流水线

CLC Number:

TP391.41

HUA Yun, HU Bo. Realization of Fast Gradient Adjusted Prediction Method for Image Compression on FPGA[J]. , 2005, 31(14): 190-.

华赟,胡波. GAP图像预测算法在FPGA上的快速实现方法[J]. , 2005, 31(14): 190-.

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URL: https://www.ecice06.com/EN/Y2005/V31/I14/190

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