STUDYING HOW TO USE WAVELET TRANSFORMS IN DIGITAL MEDIA IMAGE PROCESSING

Abstract

In an era dominated by informatization, the
abundance of information is ever-increasing. Images,
serving as a fundamental medium for human
perception and information dissemination, play a vital
role in conveying and interpreting information. The
development of digital image processing, the
computerized manipulation of images, has a rich
history dating back to the 1920s when digital
compression technology was employed to transmit
photos across continents. Digital image processing
technology offers a means to enhance our
understanding of the world objectively and
accurately. While the human visual system is
remarkably adept at extracting information, it is
limited by its ability to perceive and interpret visual
data. Image enhancement technology rectifies this
limitation by rendering previously blurred or obscured
images into sharp clarity. This field has garnered
significant research, with promising results affirming
the feasibility of related endeavors.
Recognizing the pivotal role of image processing
technology, researchers have embarked on extensive
investigations, yielding fruitful outcomes. However,
the current trend in research leans towards delving
deeper into the complexities of image processing
technology. Yet, the application of image processing
is a holistic endeavor, necessitating both depth and
systematic considerations. Consequently, an
integrated model encompassing various aspects of
image application stands to bolster the utilization of
image processing technology. Wavelet transform, a
versatile technique, has found successful applications
across a spectrum of image processing domains. This
paper, therefore, introduces a unified model based on
wavelet transform. Through simulations involving
filtering, watermarking, encryption, decryption, and
image compression, this model demonstrates
commendable efficacy, highlighting its potential for
practical implementation.