Ben Langhinrichs

Photograph of Ben Langhinrichs
E-mail address - Ben Langhinrichs






September, 2017
SMTWTFS
     01 02
03 04 05 06 07 08 09
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30

Search the weblog





























Genii Weblog


Civility in critiquing the ideas of others is no vice. Rudeness in defending your own ideas is no virtue.


Sat 16 Sep 2017, 02:24 PM
I wanted to demonstrate what our new Defect Detection (and correction) looks like, but the various examples I have are all covered under NDA. So, in this series, I will break some of my own images in the way the customer images are broken. (These are all scaled down from the original width to make them fit on the blog better.)
 
Original image (scaled down)
Inline JPEG image
 
 
1) Image header lists n segments, but there are only m (where m < n)
 
For my first example (going in the order of this blog post), I take the same image saved as GIF and JPEG (using GIMP) and imported into Notes rich text, then broken using the Midas LSX. In the GIF format there are two "image segments" in rich text, while In the JPEG format  there are six "image segments". This simply means that the raw image data is spread out over a few different CD records. When an image "breaks", it is often because some of the trailing image segments are lost, or rather overwritten. Below, I show the same image, first broken by removing the last few image segments (half of them), then fixed by the Defect Detection system in CoexLinks and AppsFidelity.
 
As you can see, many "fixed" images aren't perfect, but they are often legible enough to read. If the information on that image is critical, wouldn't you rather see of the those rather than the white box below?
 
 
Broken images (all look like this in Notes)
 
Inline JPEG image
 
 
Fixed JPEG image (minus half the image segments)
 
Inline JPEG image
 
 
Fixed non-interlaced GIF (minus half the image segments)
 
Inline JPEG image
 
Fixed interlaced GIF (minus half the image segments)
 
Inline JPEG image

Copyright © 2017 Genii Software Ltd.

Technorati tags: