IMAGE COMPRESSION
DEFINITION
• Image compression is the process of reducing the file size of an image by eliminating
redundant or less important information. This helps in saving storage space and speeding
up the transmission of images over networks. It can be done in two ways:
PROCESS
1.Convert (if needed): Change the image to a different color format to simplify compression.
2.Reduce Details: Lower the resolution of less important parts (for lossy compression).
3.Transform: Break the image into small sections and convert it into a different format to make it easier to
compress.
4.Simplify Data: Reduce the precision of the image data to save space.
5.Encode: Compress the data using encoding techniques to make the file size smaller.
6.Save: Save the compressed image in a file format like JPEG or PNG.
APPLICATION
•Web and Mobile Applications:
• Faster Load Times: Compressed images load more quickly on websites and apps, improving user exp
• Reduced Bandwidth Usage: Saves data transfer costs and improves performance, especially on mob
•Storage:
• Save Space: Compressed images take up less disk space, allowing for more efficient use of storage re
• Backup and Archiving: Reduces the size of image backups and archives, making them easier to mana
•Transmission:
• Efficient Transmission: Compressed images transmit faster over networks, beneficial for email, messa
• Streaming: Enhances the quality of image streaming services by reducing data transfer rates.
•Digital Photography:
• File Management: Helps in managing the storage of high-resolution photos on cameras and smartphon
• Social Media: Allows users to share high-quality images quickly on social media platforms.
ADVANTAGES
1.Saves Storage Space: Reduces the file size, allowing more images to be stored on a device or server.
2.Faster Loading: Improves the speed at which images load on websites and apps, enhancing user experience.
3.Reduces Bandwidth Usage: Lowers the amount of data transferred over networks, which can save on costs and improve
performance.
4.Quicker Sharing: Makes it easier and faster to share images via email, messaging apps, or social media.
5.Efficient Transmission: Facilitates the smooth transmission of images in streaming services or remote sensing applications.
DISADVANTAGES
•Quality Loss: Especially with lossy compression, some image details and quality can be lost.
•Decompression Time: Some compression methods may require additional time to decompress the
image for viewing or processing.
•Complexity: Advanced compression algorithms can be complex and require more processing power,
which may affect performance on some devices.
