David Griffin Photography

Images, videos, tips and news from David Griffin Photography

Monthly Archives: September 2009

Click on the title of the blog post to view the entire entry.


Another Lightroom Tip: Out Damn Spot!

I’ve been staying up much too late watching Ken Burn’s “National Parks” film and so I was rather annoyed to find that I slept in a bit late on a rare foggy morning. While wading around in the river looking for visual moments in the rapidly decreasing fog I found a nice splash of color and proceeded to shoot there for the next 20 minutes.

Unlike the grand, sweeping landscape shots of mountains or lakes, these intimate landscapes require a very high aperture setting to obtain any significant depth of field. Here I’m shooting at f/13 and the scene really called for even more, but tradeoffs start building up quickly after f/11 (diffraction, exposure time, etc.)

The physics of light giveth and they also taketh away. With a digital SLR cameras, high f-stop PLUS high contrast = dust spots. The increased aperture alone emphasizes spots on the sensor, but if  you start raising the black point of your images to increase the contrast during post-processing, you can expect to see dust spots popping out of the woodwork — especially in areas of smooth tonality – skies and water, for example.

Getting rid of dust spots used to mean heading over to Photoshop for a session with the cloning tool, but both Lightroom and Aperture (and other photo software) have recognized the ubiquity of the DSLR dust spot problem and provide tools to help clean up your images. Here are a couple of tips for Lightroom:

1. Since all of the image changes in Lightroom are non-destructive, jack up the black point to over-emphasize contrast difference. The spots will make themselves much easier to find. You can do your spot cleanup and then just return the black point to the setting you want for creative purposes.

2. If you zoom in 1:1 on the image, you can use the PageUp and PageDown keys to quickly cycle through each segment of the image. This is far easier and more methodical than dragging the image around.

3. However, dragging the image around at 1:1 zoom has advantages that should not be overlooked. After you have paged through, use the drag tool to “jiggle” the image. There are two reasons for this — while the paging method is complete you will tend to not notice spots along the edges, so a quick dash around with the dragging tool takes care of the “seams”. The second reason is that the human vision system has special processing for movement and edge detection. By jiggling the image you will see spots that you might otherwise overlook. If you’re not using those neurons to stay alive on the savannah anymore, you can at least put them to use making nice photographs. :-)

4. As with the black point control, you can also find spots using another Lightroom tool in a way it wasn’t designed for: the sharpening tool’s masking setting. Zoom in 1:1. Then hold down the Option key (Alt on PC) and click down on the masking control. The display will change to a black and white contrast map of the image — essentially it is displaying all of the edges for you. By raising and lowering the masking you will find that at a certain level (it varies with the image) the dust spots will jump out at you. As a matter of fact it’ll probably find far more than you want to know about!   Just as with the black point control, remember to reset the masking to your desired creative setting after you’ve hijacked it for this particular bit of problem solving.

5. Don’t forget that dust spot removal can be applied (synched) across images! Within a short span of time the spots are unlikely to increase/decrease/move on the sensor so once you’ve done the hard work of finding them, you can reapply them to multiple images. HOWEVER, unless the scene is completely static, you will want to review the fixes at 1:1. The dust spot tool is an intelligent clone tool, but you will probably find that you need to tweak the source of the fix from image to image.

How many dust spots do you see?

Here’s the Masking tool’s view:

lr-screengrab

You can avoid, or at least reduce, all of this work by keeping your digital SLR’s sensor clean.  The Cleaning Digital Camera’s website is a great reference. If you are squeamish about cleaning the sensor you can often send your camera back to the manufacturer for a tune-up.

In my experience dust spots tend to be more visible in prints than on the screen.  So before  you commit ink and paper on an image, spend some time looking for dust spots.  Your piggybank and the environment will thank you.

A Yellow Lightroom Tip

Color perception is a very tricky thing and you might be surprised to learn that your camera’s manufacturer and/or your photo processing software has a “color personality”.   Where I’ve noticed it most prominently with my equipment (I shoot with Canon cameras and process the images with Adobe Lightroom) is with the yellow response.  (Just to be clear, what follows is true for any color image.  I’m just zeroing in on yellow as an example.)

Before I go any further I have to note that if you are concerned about color fidelity (and it’s just fine if you are not) then you need to have your monitor calibrated with a colorimeter gizmo like ColorVision Spyder or some similar device.   After you do this you can decide if you want to be obsessive about color or just concerned.   Obsessives (or people whose livelihood depends on accurate color) will have very special lighting, neutral gray walls in their room, etc.     I’m not one of those people.

This image of Black-Eyed Susans provides a great demonstration of when faced with an unexpected color response from your equipment and workflow, Lightroom has some interesting tools for you.  (I guess I should mention that we’re talking about RAW files here.  If you shoot JPEG you can pretty much skip this article.)

The first thing you want to check is your white balance.   You should have it set to the temperature you’d expect to have at that time (or, if you happen to have a neutral test target with you, image that and use it as the reference).   I’m speaking generally here, but the biggest thing the white balance control is “fighting” is the blue cast of the sky.   Because yellow’s complementary color is blue, the white balance has a significant impact on what kind of yellow tone you are going to end up with.

The camera’s response to yellow, and your software’s interpretation of it is subject to a mathematical color response profile.  Different profiles = different color for the same object.   In Lightroom’s Develop module you will find the Camera Calibration panel.  I wrote about this some time ago and it’s something I head to whenever the image Lightroom throws up on the screen doesn’t match my, ahem, perfect memory of the scene.   By selecting different profiles I can usually find one that comes much closer to what I feel the colors should be.

By default, Lightroom uses an “Adobe Standard” color profile – but there are other profiles you can use that have been developed to mimic equipment manufacturer profiles.  (If you shoot JPEG, it is these settings in the camera you can tweak to get the color closer to what you want – but you have to make the change BEFORE you take the image.)

When I imported the flower photo, this is what Lightroom gave me:

wpid1143-20098-263-0957.jpg

More orange than yellow.   Canon’s idea of yellow wasn’t that much better.  This is the Canon Camera Standard profile’s view:

wpid1145-20098-263-0957-2.jpg

Pushing into pumpkin territory (on my monitor).

I finally settled for the “Camera Neutral” profile, which provided me with a satisfying yellow for this image.

The purpose of this article wasn’t to find the scientifically faithful color match.  There are all sorts of ways of bending colors in digital images to do your bidding.   But if you find yourself looking at an image and thinking that it “isn’t quite right”, remember the Calibration panel and try experimenting with the profiles that are provided by Adobe (and I’m sure some folks out there have developed custom ones as well).   You might be two or three clicks away from having an image you are much happier with color-wise.

Patience

You can learn a lot from a frog…

My backyard pond is home, at any one time, to 5-7 Green Frogs.  Occasionally other species show up, but they either a) eat the other frogs and leave, or 2) get eaten.  Either way, the ecosystem in the pond pretty much reverts back to Green Frogs sooner or later.

Frogs are very patient animals.  They are the amphibian equivalent of a leopard sitting in a tree all day long waiting for the antelope to just wander a… tiny… bit… closer!   Instead of antelope, they’re after flies or other insects.

Frogs are either super-cool and practically let you bump the lens on them — or they are flying across the pond, diving for cover when you get within 20 feet of them.  Either way, because of how their eyes are situated on their head you have a pretty clear sense that you are being watched and evaluated at all times — and those seemingly spring-loaded legs will fire at any moment.

Photography, and particularly outdoor/nature photography, requires the photographer to be patient.  Sometimes the patience is simply moving slowly towards a subject so that the animal isn’t stressed out.  Sometimes the patience is waiting for some behavior to occur – with no guaranties that it’ll happen.   Sometimes the patience is knowing that, in a few minutes, if the gods aren’t against you, the light will be just right.  Sometimes that afternoon snack lands on the lily pad you’ve got staked out and sometimes you watch the sun go down hungry for a meal.  One thing for sure — you have to be engaged in your environment: there’s no “calling for take out”.

[Update: As luck would have it, Juan Pons recently posted an article apropos to this photograph.  Juan talks about the importance of getting at the eye level of your subject.  Visit [url]http://wildnaturephoto.com/2009/09/24/connecting-with-your-subject/trackback[/url] for some good advice.]

Image captured with a Canon 5D Mark II, 500mm f/4L lens (and I’m going out on a limb here and guessing that I had at least one closeup ring on the rig.)   ISO 200, 1/320 second, f/4.0

Post processing with Lightroom: Cropped a bit off the bottom and a wee bit off the right.  The bottom was just more out-of-focus leaves and didn’t contribute to either the composition or as depth cues.   To push attention to the frog itself I employed two exposure modifications: A 1-stop graduated filter was applied to the top 2/3rds of the image.  Then I added a small amount of (post-crop) vignetting – again, just to nudge the eye a bit closer to the subject.  (Image below is SOOTC for comparison purposes. The 500 and the full-frame 5D exhibits a bit of vignetting.)

wpid1133-20098-263-0873.jpg

A Web and its Architect

Checking my wildflower garden for dew-kissed flowers I instead found this little web, and the owner was nearby.

Canon 5D Mark II, EF100mm f/2.8 Macro.  ISO 400.  Various exposures around 1/100 and f/4.

Lightroom processing: Raising the black point was the key to making the drops stand out.  Clarity (mid-tone contrast) does the rest. So for all of these images I set the black point over 30, clarity over 40, but everything else pretty standard (i.e., bit of vibrance, exposure tweaking, etc.)

Waning Days of Summer on Lake Boon

I had to get out of the house and do a little bit of photography.  I have a tiny project for our local state representative that I’ve had on the books for a while, waiting for the scenery to perk up.  So I headed out to Stow and did some shooting.  I ended up at Lake Boon and what unfolded over the next hour had “end of summer” written all over it.  It was a warm autumn evening and folks were still enjoying the lake as the sun creeped slowly to the horizon.

One of the great benefits of the new breed of DSLRs is the ability to shoot video and I took the opportunity to capture some of the quiet scenes that came by that evening.  I hope you enjoy it as much as I did.  (Click the HD button for better quality if you’ve got fast internets.)

[youtube]http://www.youtube.com/watch?v=Es1YUOFg1V8[/youtube]

Autumn is here!

Autumn officially arrived here in the northern hemisphere at 5:19 this morning.  I probably should have been outside to welcome it, but… well…  sigh… no excuses.

The first signs of fall have been popping up around the New England landscape for a few weeks now and a few harbingers that are here in Massachusetts became visible in the past week or so.

I like autumn for two reasons: color and revelation.  The intensity of colors of the season vary from year to year and I honestly don’t care if this is going to be a “good year” or not  – if I’m alive to photograph them, it is, by definition, a good year.  There’s still something special about making a turn down a path or stream and having a bank of red trees glowing in the afternoon sun.

By “revelation” I mean that the changes in the autumn open new sights that have been closed to us by the dense foliage of the fall.  Places that were hidden become visible.  Landscapes that were boring become dramatic.

Some people dislike fall because it signals the end of the warm weather and the promise of being miserably cold in a few months.  Fair enough.  But, for me, the cool mornings beckon me to get out and explore before the ice arrives.

If you have the urge to take great autumn pictures and you have a DSLR type camera, think about purchasing a polarizing filter for your favorite lens.  While this reduces the amount of light entering the camera (the filter is very similar to that of sunglasses), the filter removes some of the glare off the leaf surface – intensifying the colors that are there.    If you don’t own a fancy camera that allows you to add filters, consider shooting your fall landscape on cloudy days or just after it rains.  This provides the best conditions for the colors to pop out.

Here’s hoping we have a picture-perfect fall.

The 23rd Annual Assabet River Cleanup

A collision of projects has kept me from posting some articles on recent events.  Last Saturday, September 12, the Organization for the Assabet River held its 23rd annual River Cleanup event.  Over 100 volunteers braved absolutely drenching conditions as the skies opened up from time to time the entire morning.  We had teams in Westborough, Northborough, Hudson, Maynard, Acton, and Concord.

A more comprehensive set of photos I took during the event are online at:  [url]http://community.dmg-photography.com/2009-assabet-cleanup[/url]

Here’s a team from the fine folks at Intel in Hudson.  Year after year they come out to do some of the dirtiest work on the river (about 10 minutes after this photo was taken it started to pour).  It must be some kind of therapy from working in cleanrooms all day or something.

And this is why we’re doing what we’re doing  (note the bubbles in the background from the downpour):


Scenes from Concord.  I was asked if we were going to cancel because of the rain.  I replied “we only cancel for ‘named storms’”.  :-)


Another corporate team that started a few years ago is from Raytheon.  Each year they seem to crank up their involvement and we couldn’t be happier with folks so willing to get soaking wet with the goal of pulling trash out of the river.

For more photographs from the event visit:  [url]http://community.dmg-photography.com/2009-assabet-cleanup[/url]

For more information on the Assabet River and what you can do to help restore it to health, visit the Organization for the Assabet River’s web site.

My thanks to OAR’s Julia Khorana, all of the river cleanup coordinators in the six towns, the DPWs of those towns, and, of course, EVERYONE who came out to help!

Advocacy and Digital Fine Art Photography Presentation

I’ve been spending the past few days putting the final touches on a presentation I’m giving at Bay Path College tonight.  The topic is “Advocacy and Digital Fine Art Photography”.  I’m really excited about the talk and hope it all comes together properly.   Like a really great print, I think I could spend another month tuning it.

The talk will delve into the general area of “conservation photography” and how photographers strike a balance between “art” and “authenticity”.  I will discuss how the human vision system works, the technological challenges of photography, and why certain types of image modifications (like tone and color balance) are generally acceptable by the public as not being “photoshopped”.

While I was able to draw upon my photography for most of the images, I’m deeply grateful to fellow photographers Gib Robinson, Scott Linstead, and my mentor Chas Glatzer for contributing some images that I just don’t have on hand.

For more information on the talk visit Bay Path college:

[url]http://www.baypath.edu/NewsandEvents/EventsCalendar/September2009/DavidGriffin.aspx[/url]

Exploiting a RAW file’s dynamic range

In my last blog article I discussed a way of extending the dynamic range of the camera through multiple exposures and then blending them (and essentially compressing the range) into a finished image.  This technique is very powerful but has a number of limitations in outdoor/nature photography — where things tend not to stand still.

Part of the “magic” of blending the multiple images depends on the image itself to be fairly static.  Moving water, wind, etc. can make it impossible to have images that only differ by exposure values.

I had take a set of images of another foggy scene with the intent of blending them with Enfuse.  But as part of a quick review I noticed that the spider webs in the foreground were moving slightly.  There wasn’t any wind to speak of, but there was enough to move the delicate webbing and the result was going to be a mess (see below, the left hand image is from the LR2/Enfuse blending of 4 images, the right is a single image):

wpid1059-20099-263-1383_enfuse.jpg wpid1057-20099-263-1384.jpg

What to do?!  (OK, I’ll admit that my composition is not all that spectacular, particularly when viewed relatively tiny on a screen, but a major visual element of the image was those spider webs!)

While the camera was not able to truly capture the entire dynamic range of the scene, it did get pretty darn close!  And for this scene the brightest element is the sun itself, which is about as featureless as you could hope for.  The bottom line is that the RAW image captured a fair amount of the detail in the scene and we can use tools like Lightroom to squeeze the information into the range that reflected what I was seeing when I took the photograph.   Of the bracketed images I took there were two that were “workable”.  I was able to apply the same changes (although different values) to both and get nearly identical results.  The image at the top of the post is the processed version of this image:

First some global corrections were applied: Fill light: 30, Recovery: 11, Black level: 11.  Bit of clarity and vibrance.  This was the foundation for two local corrections:

1) A graduated filter was applied to the top half of the scene dropping the exposure by 1 stop and, to keep the fog foggy, a little bit of negative clarity — preventing the sharpening tools from finding any edges in the fog.

2) A second graduated filter was applied to the bottom half of the scene, dropping the exposure 1/4 stop, and slightly increasing the clarity and saturation.

One of the main reasons for shooting RAW, particularly in scenes with lots of dynamic range, is the ability of tools like Lightroom / Aperture / etc. to make use of every bit of the information there and, with a few easy steps, perform the same steps that would take Ansel Adams days (or certainly hours) to fine-tune in the darkroom and produce a final image that closely matches what the photographer saw (and felt) when they pressed the shutter button.

Will this work for any scene?  Of course not!  But for many classes of landscape images you can certainly “push the envelope” and find a great photograph hiding in that file.

Moose Highway Enfused

wpid1038-20099-263-1374_enfuse-w0.jpg

We arose (a bit too late) one morning and attempted to visit nearby Screw Auger Falls before the sun burned through the fog.  Unfortunately, if there was fog at the falls it was gone by the time we arrived.  (The water level was pretty low anyway.)

On the way back we stopped at a field that had a number of visual elements, including a heavy veil of morning fog.  It turns out this photo shows two highways: a human highway on the right and a moose highway running parallel to it down the center of the image.  The muddy ground was full of moose tracks and the occasional rustling in the nearby woods made one stop and take notice.

While the human vision system can take in 13 stops, my Canon 5D Mark 2 can “only” capture 11 stops — and the meadow scene was clearly more than 11 stops.  There are two ways of handling this: a graduated neutral-density filter or “digital darkroom” techniques like HDR.   The GND filter really wouldn’t work well here — the trees and contours would accentuate the GND filter’s line making it more obvious than usual that it was being used.

I took a series of exposures (4 in all) to capture the foreground detail and the sun’s disc in the foggy sky.  Here are the longest and shortest exposures:

wpid1034-20099-263-1374.jpg wpid1040-20099-263-1377.jpg

What needs to happen in the post-processing is to essentially compress the dynamic range captured in the multiple images back into one.   There are a variety of ways of doing this.  HDR and tone-mapping is one way (Photomatix is a popular tool for this).  The other technique is to use Enfuse – which blends the exposures but avoids creating an HDR file.  Being a Lightroom junkie I use LR/Enfuse which makes it very easy to perform this computationally intensive task.

However when I took the default blending weights (Exposure=1.0, Saturation=0.3) the result was this:

wpid1036-20099-263-1374_enfuse.jpg

While the foreground was blended very nicely, the Enfuse algorithm didn’t handle the gradual transitions in the trees and fog.  The result was a muddy sky and a halo over the treeline.

Fortunately LR/Enfuse makes it relatively simple to play with the weighting factors and I started monkeying with them at the extremes to see what would happen.  When I set the exposure weighting to 0 the halos went away, but the sky ended up a bit bright and the foreground ended up a bit too dark (see result below).  However, because we had a nice 16-bit file to work with, this was easily compensated back in Lightroom by lowering the exposure about 3/4 stop and cranking up the Fill Light (to 73).

wpid1043-20099-263-1374_enfuse-w0.jpg

The resulting image (at the top of this post) very closely matches what I saw in that field that foggy morning and thanks to tools like LR/Enfuse it is relatively straightforward to extend the capabilities of my camera closer to that of my eyes.

Get Adobe Flash playerPlugin by wpburn.com wordpress themes
AJAXed with AWP