The first Apple proposal to move the Macintosh to Intel hardware did not begin with Mac OS X. It began in 1985, shortly after Steve Jobs’ departure from Apple. The project was quickly nixed by Apple’s management, but it would be revived several years later in a joint effort by Novell and Apple to port the Mac OS to the x86 processor.
Microsoft released Windows 3.1 in 1992, and it quickly became the best selling program in the industry. Both Novell and Apple were threatened by the new operating system. Novell feared that the new version of Windows (and especially the pending release of Windows NT) would interfere with its NetWare product, which held a near monopoly in PC networks.
Star Wars TSG is a minimalist Mac OS X application designed to help you replicate the Star Wars title sequence using your own information. The utility renders all the frames to BMP files, and then you can use QuickTime to create a movie file that can be integrated into your project easier.
Apple was equally threatened. Windows was not as easy to use, but Windows PCs cost less than Macs, and Windows could run standard DOS apps without add-on cards or emulation.
Novell began work modernizing Digital Research’s GEM, best known as the graphical environment used on the Atari ST, and turning it into a competitor to Windows. The legal department at Novell got the jitters over the project and had it canceled, fearing that an enhanced GEM would attract a lawsuit from Apple.
Darrell Miller, then Vice President of marketing at Novell, made a proposal to Apple CEO John Sculley about porting the Mac OS to Intel hardware. Sculley was thrilled by the offer – he wanted Apple to move away from the expensive hardware business and turn it into a software provider.
The project to bring the Mac OS to the Intel 486 began on Valentine’s Day in 1992 and was named Star Trek. The project was blessed by Intel’s CEO Andy Grove, who feared Microsoft’s power in the PC market.
Apple’s leadership gave a deadline of October 31 (Halloween) for creating a working prototype of Star Trek. The group set to work porting the Mac OS to Intel processors.
The task was a tedious one. Much of the Mac OS was written in 680×0 assembly code to make the computer faster and use less disk space. All of this code had to be totally rewritten for the 486. Other parts of the operating system were easier – most of the interface elements had been written in Pascal and only required a few modifications.
There were several other technical hurdles to overcome in porting the Mac OS to Intel processors. The software relied heavily on the ROMs in Macs, which stored much of the operating system and dictated how many GUI features behaved. It would be too expensive to create new ROMs for PC users, so the group implemented the ROMs in software, loading them during startup. (This feature would not be incorporated into Macs until the introduction of the iMac in 1998.)
The group managed to meet its deadline and had a functional demo ready by December 1, 1992. Apple executives were amazed to see the Finder run on an ordinary PC. The engineers did more than that – QuickDraw GX and QuickTime were also ported to x86.
With the first goal of the project completed, the engineers took a vacation in Mexico, and the management at Apple and Novell began to decide how to complete the project.
Unfortunately, John Sculley’s reign at Apple came to an end in the middle of the Star Trek project. The new CEO, Michael Spindler, had little interest in porting the Mac OS to x86 and devoted most of Apple’s resources to preparing System 7 for the PowerPC.
The Star Trek project was canceled, and the Mac OS would not run natively on Intel until after Apple acquired NeXT in 1996, which already had an x86-base operating system, NeXTstep.
In June 2005, Steve Jobs announced that Apple had been concurrently developing OS X on Intel and PowerPC processors for five years – and that within a year Macs would be based on Intel processors and future versions of Mac OS X would run on Apple’s forthcoming Intel-based hardware.
Some of the sources used in writing this article:
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searchword: startrek
Astrophotography is closer to science than art, and there is no such thing as “getting it right in camera.” This means you cannot simply point the camera at the sky and snap away.
In astrophotography you cannot avoid post processing your images, so stacking and editing your images serves three main purposes:
Image stacking is the technique used to improve the signal to noise ratio, and it is the only noise reduction method that will boost the image details rather than smear them out.
In this article, we will discuss some of the most popular software available for astrophotography image stacking.
Note: Don’t miss the detailed video at the end of this article, It was created to help show you how to quickly start using some of the stacking software mentioned in this article.
Click here to skip to our Image Stacking Demo Video.
The concept behind image stacking is simple, but to appreciate how it works, there are a couple of things we have to consider:
In the simplest form of image stacking, the pixels values for all images in the stack are averaged to produce a single image.
The result is a single image with improved signal to noise ratio, i.e., with better details and lower (random) digital noise and better details.
The scheme below illustrates the concept.
If the considered digital noise affects the pixel values randomly across the stack, then the result of averaging the stack is that the random component of the noise to the pixel value is significantly reduced.
ISO noise and Luminance noise and Chrominancenoise are examples of digital noises that are random.
The image below shows a real-life example from stacking 30 images from my Sony RX10 bridge camera taken at ISO 6400. As you can see, the original images showed a greater deal of noise (grain) than the stacked one.
The more images you stack, the cleaner the resulting images are, as shown in the comparison below.
While Image stacking creates a cleaner image, it often softens the image: digital sharpening techniques are then used to recover sharp looking details.
Finally, bear in mind that the progression of image quality is not linear.
If stacking 4 images improves the image quality of 50% respect what you got by stacking only 2 images, to improve a further 50% the image quality from stacking 50 images, you may need to stack 300 images or more.
If nothing moves between shots, like in the previous real life example, implementing image stacking is very simple: just group the images and average them to smooth out the noise.
With a moving subject, grouping and averaging the images will not only smooth out the noise, but also the subject itself.
This is the same principle for which long exposures of passing traffic and crowd result in a street image without cars nor people.
This effect is amplified with the number of images used, and the moving subject could simply disappear from the stacked image.
To resolve the issue, you have to align the images based on their content before stacking.
Due to image alignment, you may have to trim the edges of the stacked image to get rid of artifacts, but your target will not be lost.
Note that while in theory you can stack images of a static scene taken with the camera on a tripod, in reality, those images will probably differ at the pixel scale due to micro-movements. It is always beneficial to align the images before stacking.
Image stacking can be done with any camera and even camera phones and with images in both RAW and JPEG format.
Nonetheless, some things can be done to improve the final result:
Related:Astrophotography Software & Tools Resource List
As said previously, image stacking is a standard technique implemented in any astrophotography editing workflow for,
Every astronomy image will benefit from image stacking.
Here is a list of software used in astrophotography for image stacking.
Complete Image Editor Commercial – Subscription Plan Photography Bundle $9.99 / Month Mac OS X, Windows
If you are interested in photography, chances are you know Adobe Photoshop is the standard in the industry and does not need introductions.
With Adobe implementing a subscription plan for their applications, if you are using Lightroom CC for your everyday photography, your plan subscription will also include Photoshop CC and Bridge CC.
And for astrophotography, Photoshop is what you need. Lightroom cannot stack your images nor perform the histogram stretching, two crucial steps in the editing workflow for astrophotography.
In this article, we have already covered in detail how to stack astrophotography images with Photoshop.
Deep Sky And Starry Landscape Stacker Freeware Windows
Sequator is an easy-to-use and intuitive astrophotography software for stacking both starry landscape and deep-sky images. It can also be used to create star trails.
While not as advanced as other stackers, it nonetheless allows you to calibrate your light frames with dark and flat calibration frames. It also allows you to remove light pollution, reduce noise, and perform other simple tasks on the stacked image.
Starry Landscape Stacker Commercial, $39.99 Mac OS X
If you are into starry landscapes and you are a Mac user, Starry Landscape Stacker is a must-have.
Easy to use, it allows you to stack and align the sky and the foreground independently by letting you easily mask the sky.
Unfortunately, the software lacks the support for RAW formats, thus forcing you to convert your RAW images in the more heavy TIFF format.
Aside from that, it works very fast and the final image is of good quality. You can also save the sky only, which is useful to further edit the shot in Photoshop or similar editors.
Deep Sky Stacker Commercial, $24.99 Mac OS X
Starry Sky Stacker is Starry Landscape Stacker brother and it has been created to stack deep sky astrophotography images.
As Starry Landscape Stacker, Starry Sky Stacker is very easy to use and intuitive, although very basic.
If you are a casual star shooter and a Mac user, this could be a good choice for you.
Deep Sky Stacker Freeware Windows
Deep Sky Stacker, better known as DSS, is arguably one of the most widely used software to calibrate and stack astrophotography images.
With DSS, you can fully calibrate your images with Darks, Flats, Dark Flats, and Bias calibration frames for the best results possible. Light frames are analyzed and scored by quality so that you can decide which percentage of best images you can stack (Best 75% by default).
A very interesting feature is that with DSS, you can easily combine images taken during different imaging sessions, to produce images of higher quality.
Planetary Stacker Freeware Windows
Autostakkert!, also known as AS!, is a very popular free software among the solar system astrophotographers. With AS! it is easy to stack both images showing the full Planetary (or Lunar or Solar) disc and images showing lunar surface close-ups.
The interface is a bit confusing, particularly in the beginning, but it is easy to navigate through the different steps for the stacking.
Unfortunately, AS! does not offer wavelet sharpening, which is a widely used technique in planetary and lunar astrophotography. For this, you can load your stacked image in Registax, another freeware software for Windows only that, sadly, is now “abandoned-ware.”
Planetary Stacker Freeware Mac OS X
Lynkeos is perhaps the only freeware planetary stacker software for Mac OS X, sparing you from turning to Windows for using Autostakkert!.
The interface is quite intuitive to navigate, but not when it comes to performing the different tasks.
On the other hand, it offers a deconvolution method and wavelet sharpening, a must-have for a planetary stacker. Definitely worth having a look at it if you are a Mac user.
Deep Sky Astrophotography Editor Freeware Mac OS X, Windows, Linux
SiriL is a freeware, cross-platform, astrophotography package that will let you calibrate, stack, and develop deep sky astrophotography images.
While not as easy and intuitive as Sequator or DSS, it offers a lot of options and produces good results. There is an active community, and it is under constant development.
Deep Sky Astrophotography Editor Commercial $60/Yr Renter License Or $150 Owner License Mac OS X, Windows, Linux
With Astro Pixel Processor (APP), you step in the realm of full-grown astrophotography packages, with many advanced options and methods to calibrate, stack, and post-process your deep-sky images.
Compared to PixInsight (PI), the software benchmark for the category, APP is cheaper and way easier to use, which makes it one of the best PI alternatives.
If you decide to buy it, you can choose between the renter’s license for $60/yr, to always get the latest version of APP, or the owner’s license for $150, but you will have to purchase the license again for major update releases.
Astrophotography Editor Commercial – €230+VAT Mac OS X, Windows, Linux
When it comes to astrophotography, PixInsight is the software of reference against which all others are measured. It offers everything you may possibly need to produce pro graded images, and it is objectively the best software in the field.
But user experience can be frustrating, as the learning curve is very steep, the editing is long and convoluted, and your computer must be quite recent and powerful to make it run smoothly.
The €230 + VAT price tag is also quite steep: sure it is worth every penny, but this makes PI be even more the software of choice for professional and keen amateur astrophotographers.
In this video, I show you how easy it is to wet our feet with image stacking.
This is particularly true if you use Starry Landscape Stacker, Sequator, Deep Sky Stacker and Autostakkert!, as I showed in the video below.
Image stacking is one of the crucial steps in the astrophotography editing workflow.
You’ll need the appropriate stacker for each type of astrophotography: starry landscapes, star trails, or deep-sky and planetary images.
In this article, we have covered the most popular astrophotography stackers available on the market, both freeware and commercial.
And while Windows users have the more extensive choice, some notable stackers are available for Mac and even Linux users.