FPGA implementation of a real-time biologically inspired image enhancement algorithm
FPGA implementation of a real-time biologically inspired image enhancement algorithm
复制标题
实时仿生图像增强算法的 FPGA 实现
DOI：
10.1007/s11554-008-0090-0
复制
发表时间：
2008
影响因子：
3
通讯作者：
I. Andreadis
中科院分区：
文献类型：
--
作者：
C. Iakovidou;Vassilios Vonikakis;I. Andreadis
针对目前标准动态范围图像传感器动态范围有限造成的图像区域曝光不足和过度曝光的问题，提出了一种新的图像增强算法的FPGA实现方案。该算法基于人类视觉系统中分流中心周围细胞的特性，在Altera Stratix II GX：EP2SGX130GF1508C5现场可编程门阵列器件上实现。该实现采用可重构流水线、结构化存储管理和空间操作中的数据重用等技术，以实时渲染视频信号所包含的海量输入数据。它还避免了使用计算密集型操作，在灵活性、时序、性能和视觉质量方面达到了所需的规格。所提出的实现允许以25帧/秒的帧速率实时处理尺寸高达2.5百万像素的彩色图像。因此，本文描述的体系结构解决方案为实时视频系统中的自动曝光校正提供了一种低成本的实现。
This paper presents an FPGA implementation of a novel image enhancement algorithm, which compensates for the under-/over-exposed image regions, caused by the limited dynamic range of contemporary standard dynamic range image sensors. The algorithm, which is motivated by the attributes of the shunting center-surround cells of the human visual system, is implemented in Altera Stratix II GX: EP2SGX130GF1508C5 FPGA device. The proposed implementation, which is synthesized in an FPGA technology, employs reconfigurable pipeline, structured memory management, and data reuse in spatial operations, to render in real-time the huge amount of input data that the video signal comprises. It also avoids the use of computationally intensive operations, achieving the required specifications in terms of flexibility, timing, performance and visual quality. The proposed implementation allows real-time processing of color images with sizes up to 2.5 Mpixels, at frame rate of 25 fps. As a result, the architectural solution described in this work offers a low-cost implementation for automatic exposure correction in real-time video systems.
DOI：
10.1073/pnas.83.10.3078
发表时间：
1986-05-01
影响因子：
11.1
作者：
LAND, EH
通讯作者：
LAND, EH
色彩增强算法的DSP实现
DOI：
--
发表时间：
2007
期刊：
影响因子：
--
作者：
Takao;Nishitani
通讯作者：
Nishitani