Posts Tagged ‘PaperLight’

Image enhancement : median filtering

Hi folks,

We continue the series of explanations on image enhancement techniques meant for our general public and this week we are going to give you some additional info about median filtering.

Images quite often contain artifacts known as “noise”.
“Noise” means, of course, un-wanted sounds occuring in an audition context but the term quickly expanded to other domains, designating the presence of un-wanted randomly disseminated artifacts within any given context.
In imaging domain, for instance, one of the frequently occuring noise-types is called “salt and pepper noise”.
Quite an intuitive name, as images affected by this type of noise look like as if salt and pepper particles were poured over “the clear” image (bright pixels on darker areas and dark pixels on brighter areas of the image).
The usual causes for this issue are hardware related (analog-to-digital conversion, bit errors in transmissions, etc.).

Which brings us to the median filtering : one of the most effective method to remove such noise from images is to apply the median filter.
This is not the place to go deeper into technical details, but for those of you wishing to find out more about this subject, you can read the Wikipedia article or even study this academic material.

Median filtering is yet another must-have feature because not only it renders the image/text documents more comprehensible but it also enhances OCR results if applied prior to OCR submission (because it removes noise but preserves edges).

All our products, SDKs (GdPicture.NET) and general public products (PaperScan and PaperLight BETA) provide the median filtering feature.

Cheers,

Bogdan

Document without PaperScan median effect

Document without PaperScan median effect

Document with PaperScan median effect

Document with PaperScan median effect

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Be careful with brands!

Be careful with brands!

Deskew/Autodeskew : what’s that ?

Hi folks,

This week we thought about offering to our general public some explanations about deskew/autodeskew, mainly to answer two questions : what’s that and why is it important to have ?

Skew is an artifact that might appear during document scaning process and it consists of getting the document’s text/images be rotated at a slight angle.
It can have various causes but the most common is paper getting misplaced during scan.
Therefore, deskew is the process of detecting and fixing this issue on scanned files (ie, bitmap) so deskewed images will have the text/images correctly and horizontally alligned.

And why is this important ?
Well, a first benefit will be that you don’t have to scan in again the skewed documents.
Instead of the mechanical and time consuming actions that re-scan involves, everything is done automatically and efficiently by the software providing deskew feature.

But there is yet another important benefit of deskewing : for those who need to OCR the scanned documents, deskew is an important correction to do before submiting to OCR process.
Deskew increases the rate of character recognition accuracy because alligned text is much closer to what the OCR software is supposed to encounter when performing image analysis.

All our products, SDKs (GdPicture.NET) and general public products (PaperScan and PaperLight BETA) provides the autodeskew feature as it is a must-have for any professional document imaging software.

Cheers,

Bogdan

Document without PaperScan autodeskew

Document without PaperScan autodeskew

Document with PaperScan autodeskew

Document with PaperScan autodeskew

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Daddy's Boy

Daddy's Boy - Source : http://uberhumor.com/daddys-boy

About JBIG2 compression

Hello folks,

Although disk storage and internet connection bandwidth are constantly increasing and getting cheaper, worldwide efforts for better file compression are increasing as well.
This is no paradox and there are too many reasons for this to mention but we all know that, for instance, file transfers are never fast enough.

For document imaging domain there is JBIG2 compression scheme.
JBIG2 is an acronym for “Joint Bilevel Imaging Group 2“.
JBIG2 compression results are incredible and perfectly suited for efficient storage and greater speed of transmission: sometime 10x better than TIFF G3, G4, or JBIG (also known as JBIG1).
Technical details are beyond the scope of this article, you can find some in the dedicated Wikipedia article and more from the official website, of course.

Users handling big archives (compared to existing storage space), users applying the good practice of maintaining a document/image archives backup or users who simply prefer faster transfers via email or file sharing apps. might be interested in such a performant compression rate.
Resulting images are black and white (bi-level) but all the information is there and it’s up to ten times smaller. And ten times faster to share.

This is why we have included JBIG2 file format support in all our software products (SDK and end-user products).
We issued this article because we feel that JBIG2 is still relatively unknown to general public.
And it surely deserves better.

Our end-user products:

PaperScan

Free Home PRO
Paperlight

Beta
View JBIG2 files (single and multipage .jb2)
yes yes yes
yes
View PDF files with embedded JBIG2 encoded bitmap
yes yes yes
yes
Save as single page JBIG2 file (.jb2) or PDF with embedded JBIG2 bitmap
yes yes yes
no
Save as multipage JBIG2 file (.jb2) or PDF with embedded JBIG2 bitmap
no yes yes
no

Our GdPicture.NET SDK:

All GdPicture.NET SDK Editions (except for “Document Viewer SDK”, the minimal one), allow developers -through the optional JBIG2 Encoder plugin – to quickly and easily add to their apps JBIG2 related features such as read, write, view JBIG2 files or PDF files embedding JBIG2 encoded bitmap.
The GdPicture.NET Ultimate SDK Edition license unlocks all features and plugins, including the JBIG2 Encoder plugin.

Cheers,

Bogdan

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Unstoppable passion for cubism

Unstoppable passion for cubism