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JPEG-Based Image Compression

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JPEG-Based Image Compression screenshot
Name: JPEG-Based Image Compression
Works on: windowsWindows 95 and above
Developer: Luigi Rosa
Version: 1
Last Updated: 21 Apr 2017
Release: 27 Jan 2009
Category: Others > Home and Education
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JPEG-Based Image Compression Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows XP | Windows 2000 | Windows 2003 | Windows 2008 | Windows 98 | Windows ME | Windows NT | Windows 95 | Windows Vista | Windows 2012
SHA1 Hash: a30b5f5cd2658e925ac07a270204c2f0442cd7c1
Size: 767.81 KB
File Format: zip
Rating: 1.826086956 out of 5 based on 23 user ratings
Downloads: 251
License: Free
JPEG-Based Image Compression is a free software by Luigi Rosa and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows 98, Windows ME, Windows NT, Windows 95, Windows Vista, Windows 2012.
You can download JPEG-Based Image Compression which is 767.81 KB in size and belongs to the software category Home and Education.
JPEG-Based Image Compression was released on 2009-01-27 and last updated on our database on 2017-04-21 and is currently at version 1.
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JPEG-Based Image Compression Description

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 isnt 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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