Digital Image processing , computer Science

Digital image processing

1. Lessy compression predictive
coding -compressikn
standards
Submitted by 
R.Saranya 
II.M.Sc(cs)

2. INTRODUCTION TO
COMPRESSION TECHNIQUES
INTRODUCTION TO
COMPRESSION TECHNIQUES
In today's digital world, efficiency in
data handling is crucial. This
presentation delves into Lessy
Compression and Predictive Coding
Standards, exploring their
functionalities and applications.
Understanding these concepts will
help enhance data processing and
storage, ultimately leading to better
performance in various technological
fields.
In today's digital world, efficiency in
data handling is crucial. This
presentation delves into Lessy
Compression and Predictive Coding
Standards, exploring their
functionalities and applications.
Understanding these concepts will
help enhance data processing and
storage, ultimately leading to better
performance in various technological
fields.

3. Lessy Compression refers to
methods that reduce file sizes
without losing significant quality.
By eliminating unnecessary data,
it enables faster transmission and
storage. This technique is vital in
multimedia applications, where
maintaining quality while
minimizing size is essential for
user experience.
Lessy Compression refers to
methods that reduce file sizes
without losing significant quality.
By eliminating unnecessary data,
it enables faster transmission and
storage. This technique is vital in
multimedia applications, where
maintaining quality while
minimizing size is essential for
user experience.
WHAT IS LESSY
COMPRESSION?
WHAT IS LESSY
COMPRESSION?

4. The main advantages of Lessy
Compression include reduced
storage costs, improved data
transfer speeds, and enhanced
user experience. By optimizing
file sizes, organizations can save
resources and ensure smoother
operation of applications,
especially in bandwidth-limited
environments.
The main advantages of Lessy
Compression include reduced
storage costs, improved data
transfer speeds, and enhanced
user experience. By optimizing
file sizes, organizations can save
resources and ensure smoother
operation of applications,
especially in bandwidth-limited
environments.
KEY BENEFITS OF LESSY
COMPRESSION
KEY BENEFITS OF LESSY
COMPRESSION

5. Predictive Coding is a technique
that uses algorithms to predict
and encode data based on
previous information. This
method significantly improves
efficiency by minimizing the
amount of data that needs to be
processed, making it ideal for
applications like video streaming
and image processing.
Predictive Coding is a technique
that uses algorithms to predict
and encode data based on
previous information. This
method significantly improves
efficiency by minimizing the
amount of data that needs to be
processed, making it ideal for
applications like video streaming
and image processing.
UNDERSTANDING
PREDICTIVE CODING
UNDERSTANDING
PREDICTIVE CODING

6. APPLICATIONS OF
PREDICTIVE CODING
APPLICATIONS OF
PREDICTIVE CODING
Predictive Coding is widely used in
fields such as video compression,
audio processing, and machine
learning. Its ability to reduce data
redundancy makes it invaluable for
real-time applications, enabling
faster processing and higher quality
outputs in various multimedia
formats.
Predictive Coding is widely used in
fields such as video compression,
audio processing, and machine
learning. Its ability to reduce data
redundancy makes it invaluable for
real-time applications, enabling
faster processing and higher quality
outputs in various multimedia
formats.

7. Comparing Lessy Compression
and Predictive Coding
Comparing Lessy Compression
and Predictive Coding
While Lessy Compression focuses
on reducing file sizes without quality
loss, Predictive Coding emphasizes
efficiency through data prediction.
Both techniques complement each
other, and understanding their
differences is key to selecting the
right approach for specific
applications.
While Lessy Compression focuses
on reducing file sizes without quality
loss, Predictive Coding emphasizes
efficiency through data prediction.
Both techniques complement each
other, and understanding their
differences is key to selecting the
right approach for specific
applications.

8. CHALLENGES IN
COMPRESSION TECHNIQUES
CHALLENGES IN
COMPRESSION TECHNIQUES
Implementing Lessy
Compression and Predictive
Coding can present challenges,
such as processing overhead and
potential quality degradation.
Balancing efficiency and quality is
crucial, and ongoing research
aims to address these issues to
enhance performance in real-
world applications.
Implementing Lessy
Compression and Predictive
Coding can present challenges,
such as processing overhead and
potential quality degradation.
Balancing efficiency and quality is
crucial, and ongoing research
aims to address these issues to
enhance performance in real-
world applications.

9. The future of data compression
will likely see advancements in
machine learning and artificial
intelligence to enhance Lessy
Compression and Predictive
Coding. These technologies
promise to improve compression
ratios and processing speeds,
making data handling even more
efficient.
The future of data compression
will likely see advancements in
machine learning and artificial
intelligence to enhance Lessy
Compression and Predictive
Coding. These technologies
promise to improve compression
ratios and processing speeds,
making data handling even more
efficient.
FUTURE TRENDS IN
COMPRESSION
FUTURE TRENDS IN
COMPRESSION

10. CASE STUDY: LESSY
COMPRESSION IN ACTION
CASE STUDY: LESSY
COMPRESSION IN ACTION
A notable example of Lessy
Compression can be seen in the
streaming industry, where
platforms utilize these
techniques to deliver high-quality
content with minimal buffering.
This case study illustrates the
practical benefits and real-world
applications of this compression
method.
A notable example of Lessy
Compression can be seen in the
streaming industry, where
platforms utilize these
techniques to deliver high-quality
content with minimal buffering.
This case study illustrates the
practical benefits and real-world
applications of this compression
method.

11. CASE STUDY: PREDICTIVE
CODING IN MEDIA
CASE STUDY: PREDICTIVE
CODING IN MEDIA
In the realm of media, Predictive
Coding has transformed how
images and videos are processed.
By predicting pixel values, it
significantly reduces file sizes
while maintaining quality. This
case study highlights its
effectiveness in improving user
experience in visual content.
In the realm of media, Predictive
Coding has transformed how
images and videos are processed.
By predicting pixel values, it
significantly reduces file sizes
while maintaining quality. This
case study highlights its
effectiveness in improving user
experience in visual content.

12. To effectively implement Lessy
Compression and Predictive
Coding, organizations should follow
best practices such as conducting
thorough testing, maintaining
quality control, and ensuring
compatibility with existing systems.
These steps will maximize the
benefits of these techniques and
enhance overall efficiency.
To effectively implement Lessy
Compression and Predictive
Coding, organizations should follow
best practices such as conducting
thorough testing, maintaining
quality control, and ensuring
compatibility with existing systems.
These steps will maximize the
benefits of these techniques and
enhance overall efficiency.
BEST PRACTICES FOR
IMPLEMENTATION
BEST PRACTICES FOR
IMPLEMENTATION

13. In conclusion, Lessy Compression and Predictive
Coding Standards offer powerful tools for enhancing
data efficiency. As technology continues to evolve,
staying informed and adapting these techniques will
be crucial for organizations aiming to optimize their
data handling capabilities.
In conclusion, Lessy Compression and Predictive
Coding Standards offer powerful tools for enhancing
data efficiency. As technology continues to evolve,
staying informed and adapting these techniques will
be crucial for organizations aiming to optimize their
data handling capabilities.
CONCLUSION: THE PATH
FORWARD
CONCLUSION: THE PATH
FORWARD