Tag Archives: image editing

End of life for Denoise Projects, and special offer

18 Jul

The imaging software industry is in motion. While companies like Serif (makers of Affinity-branded software) and Macphun are making a dash from the Mac to the Windows platform, and following Google’s recent abandonment of the Google Nik Collection of plug-in and stand-alone applications for tasks such as black and white conversion, colour adjustment, film simulation, sharpening and denoising, another applicant for this market is now showing signs of slowing down.

Like Google, Macphun and others, German publishing house Franzis also develops a variety of tools in its “Projects” series for the above tasks, each usually sold separately. Among them are tools for HDR and focus stacking, and Franzis also develops and sells other imaging software not branded as “Projects”, and is the German distributor of Silkypix raw processing software.

Franzis has now announced discontinuing Denoise Projects Professional, a specialised program and plug-in for removing digital image noise. It is unclear if other discontinuations will follow.

According to the publisher, Denoise Projects automatically detects and removes “all” seven types of noise. Other Franzis Projects products work with a high floating point bitrate, and the tech specs for Denoise Projects imply that it requires 32 bit GPU acceleration, while the FAQ mentions it can save 32 bit TIFF. It was not explicitly stated whether 32 bit floating point processing is used internally.

Those interested can find a 70% off offer here.

Image

ISO 800,000 sample from Pentax KP

30 Jan

Above is an ISO 819,200 shot from Ricoh’s promotional materials for the Pentax KP, with light post processing from JPEG applied by the breakfastographer. Click on the image to enlarge to full size. The original file can be found here.

Update 11/02/2017:

Also check out this comparison of high ISO noise in the Pentax KP and K-70.

Fast what? The primer on “fast” RAW image viewers

21 Feb

Over the last few years, various RAW viewers have sprung up, all claiming to be “fast” and putting this in their name. No law suits have apparently been filed, so it’s left for us consumers to figure out which is which. I thought you would appreciate a resource that you can return to when you need to know, so here goes.

The candidates presented here are FastStone Image Viewer, FastPictureViewer, and FastRawViewer. Please note that these are not necessarily the fastest RAW viewers out there (I haven’t tested these or any others for that particular aspect). The purpose of this article is just to clear up the potential naming confusion.

FastStone Image Viewer is actually the oldest of the bunch, launching in 2004. It’s a fully featured image viewer that supports many RAW formats, some colour space operations, and a host of editing steps such as cloning, colour correction, curves, cropping, and sharpening. JPEG rotation is lossless in the FastStone viewer. It also has a few fancy functions, such as emailing contact sheets, and is free for personal or educational use. Commercial use is 35 bucks.

FastPictureViewer dates back to 2008. It exists in three editions, but only the most expensive one supports RAW formats (and the most basic one is free). It doesn’t have any editing capability and instead specialises in image rating and selection. It’s 50 bucks for the version that does RAW.

There is also a FastPictureViewer Codec Pack for ten bucks that simply enables fast raw previews in Windows Explorer, nothing more. However, Microsoft also provides its own codec pack for free, so that’s another option to consider.

FastRawViewer is the new kid on the block, entering public beta in 2014, and is made by the folks whose other commercial project is RawDigger and who maintain open source LibRaw (this will only interest software developers), on which FastRawViewer is based. Considering it’s early stages, it has quite a bit of functionality already. It’s even more focused on viewing and analysing, rather than editing, images than FastPictureViewer, and will only set you back 20 dollars for the full version right now.

Three neat pieces of imaging research

30 Sep
  1. Correcting for all sorts of flaws in cheap lenses using software
  2. Recording a photograph from the point of view of the light source, not the camera
  3. Extracting or manipulating 3D objects inside a photograph

Bonus:

Hope you enjoyed.