Based on the FPGA Video Image Enhancement System Implementation

Abstract

ABSTRACT:According to the changing external environment, or night fog cases collected a blurry image. In this paper, the conventional histogram equalization algorithm is optimized and improved, as well as an adaptive histogram equalization algorithm is proposed, which can effectively control the contrast ratio. To convert images from the RGB space to HSI space, and then to HSI space of luminance component (I) of gray histogram for optimization of the algorithm, and then convert to RGB space. The realization of the algorithm by FPGA, image recognition degree enhanced obviously, improve the quality of the image, the actual application effect is superior.

RPC-Based Orthorectification for Satellite Images Using FPGA

“…Ontiveros-Robles et al [ 22 , 23 ] proposed FPGA-based hardware architectures for real-time edge detection using fuzzy logic algorithm. Li et al [ 24 , 25 ] utilized FPGAs to realize the real-time processing of video images to remove snow and fog. Huang et al [ 26 ] proposed an FPGA-based method for the on-board detection and matching of the feature points.…”

On-Board Ortho-Rectification for Images Based on an FPGA

“…In recent decades, the field programmable gate array (FPGA) has been widely used in the image processing (such as imaging compression [7,8], filtering [9][10][11], edge detection [12,13], real-time processing of video images [14,15], and motion estimation [16][17][18]) to make real-time processing come true. González et al [16,17] optimized matching-based motion estimation algorithms using an Altera custom instruction-based paradigm and a combination of synchronous dynamic random access memory (SDRAM) and on-chip memory in Nios II processors, and presented a low-cost system.…”