A REAL TIME IMPLEMENTATION OF DATA HIDING IN AUDIO FOR MILITARY APPLICATIONS

Abstract

Picture enhancement is a challenging problem in low-level image processing. This study covers fundamental image enhancement techniques, their implementation, and outcomes using Verilog as the hardware description language. Utilizing HDLs like Verilog provides a direct link to hardware VLSI implementations, surpassing traditional simulations.
The project involves the design, modelling, simulation, and synthesis of three image enhancement approaches on FPGA. These techniques fall into two categories: point processing, which operates at the pixel level, and spatial filtering, which works within a pixel's vicinity. The three essential operations employed are contrast adjustment, brightness modification, and inverting, which manipulate the RGB values of each pixel to enhance human interpretation of the image.
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Invert Operation: Reverses pixel values to create a negative image, making dark areas bright and vice versa.
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Brightness Operation: Adjusts the overall luminance of an image by uniformly changing pixel intensity values.
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Contrast Operation: Enhances the difference in intensity between light and dark areas, improving detail and feature perception.
These enhancements demonstrate the effectiveness of hardware-based image processing for improved image quality.