Design of Novel Algorithm and Architecture for Gaussian Based Color Image Enhancement System for Real Time Applications

TL;DR

This paper introduces a new Gaussian-based color image enhancement algorithm designed for FPGA implementation, enabling real-time processing of high-resolution images and videos with improved dynamic range and color accuracy.

Contribution

The paper presents a novel Gaussian-based enhancement algorithm with a pipelined FPGA architecture capable of real-time high-resolution video processing.

Findings

Achieves real-time processing of 1600x1200 images at 116 fps

Provides better dynamic range compression and color rendition

Supports high-resolution video sequences

Abstract

This paper presents the development of a new algorithm for Gaussian based color image enhancement system. The algorithm has been designed into architecture suitable for FPGA/ASIC implementation. The color image enhancement is achieved by first convolving an original image with a Gaussian kernel since Gaussian distribution is a point spread function which smoothen the image. Further, logarithm-domain processing and gain/offset corrections are employed in order to enhance and translate pixels into the display range of 0 to 255. The proposed algorithm not only provides better dynamic range compression and color rendition effect but also achieves color constancy in an image. The design exploits high degrees of pipelining and parallel processing to achieve real time performance. The design has been realized by RTL compliant Verilog coding and fits into a single FPGA with a gate count utilization of 321,804. The proposed method is implemented using Xilinx Virtex-II Pro XC2VP40-7FF1148 FPGA device and is capable of processing high resolution color motion pictures of sizes of up to 1600x1200 pixels at the real time video rate of 116 frames per second. This shows that the proposed design would work for not only still images but also for high resolution video sequences.