Used JPEG-Based Image Compression for Windows?


Editors’ Review

Download.com staff
This code performs advanced JPEG-based image compression, optimized for full-color or grayscale photographs and natural artwork. Users can balance image quality with file size through adjustable parameters.
  • Pros

    • Supports full-color and grayscale image compression.
    • Optimized for photographs and naturalistic artwork.
    • Adjustable compression parameters for quality-size trade-off.
    • Includes RGB to YCbCr color space transformation.
    • Features optimized encoding.
  • Cons

    • Not ideal for lettering, simple cartoons, or line drawings.
    • Employs a lossy compression algorithm.
    • Decompressed images are not identical to the original.

Used JPEG-Based Image Compression for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows Server
  • Windows 95
  • Windows 98
  • Windows XP
  • Windows ME
  • Windows 10
  • Windows 2003
  • Windows 3
  • Windows Vista
  • Windows NT
  • Windows 2000
Additional Requirements
Matlab 7.0
POPULARITY
Total Downloads
1,865
Downloads Last Week
0

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Developer’s Description

Perform JPEG-based image compression.

JPEG is a standardized image compression mechanism. It stands for Joint Photographic Experts Group, the original name of the committee that wrote the standard. JPEG is designed for compressing either full-color or gray-scale images of natural, real-world scenes. It works well on photographs, naturalistic artwork, and similar material; not so well on lettering, simple cartoons, or line drawings. JPEG is a lossy compression algorithm, meaning that the decompressed image isn't quite the same as the one you started with. JPEG is designed to exploit known limitations of the human eye (more about this later), notably the fact that small color changes are perceived less accurately than small changes in brightness. A useful property of JPEG is that the degree of lossiness can be varied by adjusting compression parameters. This means that the image maker can trade off file size against output image quality. The code we have developed includes: Color space transformation between RGB and YCbCr, Quantization, Optimized encoding.


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