john_wheeler6

<p>I don't know what software you have or the quality of the JPEG (amount of compression). Here are my recommendations.<br> - Go for the smaller size 40 x 40<br> - Upsize the image for printing using good sofwareware (e.g. Photoshop, Perfect Resize, etc)<br> - Sharpen image for that print size<br> - Do a test print of the whole image (or a portion of the image if you don't want to invest in the full print) and give it a look.<br> If you are satisfied with the image, then you are good to go.<br> As others have said, it depends on the minimum viewing distance of the image. Typical viewing distance is about the same as the diagonal of the print as a rule of thumb. However, when buying, a customer may look closer. 240 to 300 dpi is good for high quality viewing at 10 inches 120 dpi to 150 dpi at 20 inches and 80dpi to 100 dpi at 30 inches minimum viewing distances.<br> Hope this is helpful.</p>

<p>Hi impr pht<br> <br />I can see your issue and it is an interesting one.<br> I also believe I understand the issue, which is the good news, and the bad news is that you may have to redo some of your work when you see the root cause of the issue.<br> <br />Turns out the darker image is the correct tonality for your edits. The issue is that there are some conditions where PS will display incorrectly. At sub 100% magnification PS takes some display shortcuts for performance reasons and you can have a bogus image.<br> You can see that the dark image is the correct one with one of two approaches.<br> 1) View you PSD at 100% magnification and compare to the JPEG. They should now look the same<br> 2) Another way to do this is to stamp all you Layers to new Top Layer and you can see that it will display darker at any magnification (you could also flatten the PSD and see the same thing).<br> So unfortunately the lighter version is due to a PS display artifacting at sub 100% magnification (e.g. at 50% magnification.<br> I have not included the details of what circumstances cause these anomalies and did not examine you image in detail to give any more specifics as I thought knowing what was going on might be sufficient.<br> That is my best shot at it and let me know if this is the root cause problem for you.<br> John</p>

<p>Hi impr pht<br> The PSD is available through dropbox yet the jpeg image did not show in your post.<br> <br />I think I can give a pretty good guess for why you have a darker image with the JPEG file though.</p> <p>You PSD file is in ProPhoto RGB color space. Most likely you saved the JPEG file without attaching the color space profile. You also probably have PS set up to interpret files with no color profile as sRGB color space. When a ProPhoto RGB file is interpreted as sRGB, you will see a darkening of the image.</p> <p>What you should do is make sure convert to the color space you desire (e.g. sRGB if for web viewing) and save it with the color space attached to the image. You also need to make sure you have the color settings in PS set up with color management turned on (which is the default)</p> <p>Hope this best guess is helpful</p>

<p>Hi "Hello Hello"<br /> I assume by flattening you mean the perspective of the image or the amount of depth you see on an object. The perspective is controlled by the distance from camera to the subject and not by lens characteristics so assuming the same distance when taking the shot, and cropping to compensate for different focal length, you would see the same amount of flattening/depth or the same perspective.<br> <br /> That is not necessarily the case with depth of field (DOF) or amount of relative sharpness in front of and behind the plane of focus. The depth of field is reduced when cropping by a linear effect of the amount of the crop while if increasing the focal length, the effect of DOF is reduced by a square effect of the relative change of focal length.<br> <br /> So if you want to end up with the same DOF with a crop vs longer longer lense approach then here is an example to do that: If you use a lense with a 2X focal length (at a given aperture lets say f/8), then to get the same angle of view, you would need to use a crop factor of 2X yet also to get the same DOF, you would need to take the image with the shorter lens at f/4 instead of f/8.<br> <br /> The exact math is slightly different yet this will get you very very close to what needs to be done.<br /> I agree with Mukul that when cropping, you need to make sure you have enough pixels for the size image you want to print or image quality will suffer.<br /> Hope this is helpful.</p>

<p>Hi Allan<br> The information at this link might help you see some tradeoffs on HP inkjet and laserjet printers: <br> http://www.florentflament.com/blog/inkjet-versus-laser-printer.html<br> <br />I did my own investigation back for a reasonable all in one printer for my office work that could also print reasonable color images at low ink jet cost and was reliable. I am using the HP OfficeJet Pro 8620 e Two other relatives had used them and besides the low ink cost there were wireless, high speed, reliable, and the cartridges were easier to change with a more solid connection. Been please with it.<br> <br />Its a little bit of a beast in size yet I was more than willing to take slightly more desk space to end up with what for me was a better long term result. Hope this is of help.</p>

<p>Dj Joofa is making a free FFT Plugin Filter available for Macs (OSX 10.10.+ and PS 2015CC). FFT filters are quite available for Windows based machines yet we have been starved on the Mac front so thought this news was worth sharing<br> <br />If you want an early version of the FFT Plugin you can email directly to djjoofa@yahoo.com. It will be up on Joofa's web site in the near future if you want to wait at djjoofa.com in the downloads section<br> <br />I got the early version and gave it an initial try. I was pleased with the early results. There is some banding at the edges yet think I can get rid of that too. <br> <br />Attached is an image of me from many decades ago that has a repeated paper pattern (top view). The results after running the FFT Plugin filter is the bottom picture. <br> Finally some FFT oxygen for Mac users<br> <br />John Wheeler</p> <p><img src="https://jkwphoto.smugmug.com/Other/Fred-Miranda/n-vpdxPn/i-x3kFDCJ/A" alt="" /></p><div></div>

<p>Hi James<br> I assume you want a basic hard drive for you Mac. What I have used are hte Seagate Expansion drives. No frills, good supplier, and less expensive than ones with built in backup software (which I do not trust). Once you have the drive, all you have to do is use the Disk Utility program and format the drive to the Mac OS Extended (journaled) format and you are good to go. Here is a link giving you prices on all the available prices. http://www.amazon.com/Seagate-Expansion-Desktop-External-STEB5000100/dp/B00TKFEEBW/ref=sr_1_2?ie=UTF8&qid=1450128065&sr=8-2&keywords=seagate+expansion<br> Lots of choices as you can see from the other posts. Hope this helps.</p>

<p>Hi Harold<br> That is a very nice FX lens and I use that with my Nikon D750. It would be a great addition if you plan on upgrading to an FX body at some point.<br> <br />If a DX body is in your future for a while, you might want to consider the 18-300mm Nikon DX lens (there are two versions). It gives some additional wide angle view compared to the lens you are considering. When I was using my Nikon D200 (DX body), I had the 18-200mm DX lens (the 300mm version was not available) and I found the 18mm point quite valuable for close quarters shooting of groups.<br> <br />Of course this is all balanced between using a single zoom lens to cover the wide range of situations vs also consider other zooms or primes in the mix.<br> <br />Just my opinion of course.</p>

<p>Hi impr<br> Yes there is a way yet there is a tradeoff.<br> <br />There is a mode that automatically creates a white Layer Mask when creating a new Adjustment Layer. If that is the case for you, first we turn that off. Open up the Adjustments panel. In the upper right corner of that panel there is a drop down icon and one of the options is whether to automatically add a Layer Mask. Uncheck that option<br> <br />Now, with that option turned off, after you create an Adjustment Layer, no Layer mask is automatically created. To create an all black mask, all you need to do is form the Layers Panel, hold down the Option key (Alt key for PCs) and click on the "Add Layer Mask" icon.<br> <br />Hope this is helpful.</p>

<p>Hi Jim<br> This is a repeat of what some have said yet<br> 1) Clear the air and get a test done by a professional<br> 2) If you have a color deficiency, then just ask more specific questions e.g. is it differentiating colors during the shoot, in post processing etc. If you give the specifics of where you feel limited after verifying #1, then I am sure forum members can better target suggestions. Good suggestions already given yet you question was a bit ambiguous to me.</p>

<p>Hi Sarah<br> Here is another way that seemed to work pretty well.<br> Duplicate layer and set the blending mode to Darken.<br> Shift the duplicate Layer down to the lower left until white areas are gone (rest will look funny yet hang on)<br> Create a Layer mask that is hide all (all black)<br> Now paint white on mask over the white speckles and it is all gone and texture is fairly well preserved per image below.<br> Hope this is useful<br> <img 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

<p>Hi Rahul<br> I would go for the 35mm f/1.8.<br> Both lenses are technical similar looking at the MTF curves.<br> The 35mm gives an angle of view very similar to your eye on a DX body while the 50mm is slightly telephoto.<br> For family type pictures I believe the 35mm would be better with the wider angle of view and the larger aperture can give you a shorter DOF than your kit lens as well as be able to take pics in lower light conditions.<br> Many landscape shots require a wider angle so the 35mm is better than the 50mm yet typically you want even wider angle than 35mm on a DX body so you might end up using your kit lens for that anyways.<br> My daughter has a Nikon DX camera body and your kit lens and her next lens was the 35mm f/1.8. i love the family pictures she shares with me. So that's my vote. Hope these inputs were helpful.</p> <p> </p>

<p>You're welcome Peter.</p>

<p>Hi Peter<br> This link may help: https://forums.adobe.com/thread/1701845?start=0&tstart=0</p>

<p>Hi Randy<br> Are you using a dual monitor system. There are known potential issues with Chrome and Firefox for dual monitor systems. If yes, please give details on the monitors in your system and which one is #1 and #2 and which one your using to view the image.</p>

<p>Glad you got a good improvement Carey!</p>

<p>I would have to agree about the price of SilverFast and as well it is tied to a specific scanner. Vuescan I believe has the needed capabilities, I just have not used it.<br> My experience must be different that others. For reflective print scanning or color slide scanning, I have calibrated/profiled my EPSON 4870 scanner (as well as the rest of the work path out to my printer), do my editing in PS (not the scanner software) and the prints come out spot on relative to what I have scanned (except for anything that was out of gamut for my printer).<br> For negatives and also for slides or prints that are not already spot on for the color of interest, having the scanner calibrated is not too important as you are going to be editing the colors in PS in any case. <br> <br />There are also cases where the scanner profile does not help as much if you need to change the actual exposure to the original e.g extremely underexposed negatives/slides or when using special techniques such as back-scanning prints. Those end up using dialed in settings for the scanner rather than the locked down settings when I am using a color profile.<br> <br />When I want to get an exact duplicate of what I am scanning, having a locked down scanner settings with an associated color profile has saved me time in the workflow. Others experience is apparently different.</p>

<p>I use Silverfast and not Vuescan yet it appears that your problem in Color Management is on the scanner end.<br> <br />For calibration on any device (scanner or otherwise) to work properly with calibration/profiling, one must put the scanner in a known locked condition with no auto adjustments applied. The IT8 target is used in the process in creating the ICC profile for the scanner. The profile is "only" valid if the scans are done in the exact same conditions as the target was scanned and if the ICC profile is then embedded in the image (or used to translate to another color space).<br> So I suspect one of several things<br> - your scanner profile is not correct<br> - your scanning conditions for your image do not match the conditions when the IT8 target was used<br> - You have some auto setting turn on<br> - You made adjsutments in Vuescan to adjust the image (which negates any color profiling work<br> - The image file was read into PS or LR with an incorrect embedded proffile or not profile at all so was misinterpretted by the Color Management Software.</p> <p>Hope that gives you some ideas in debugging your issue.<br> Note: Here is a link of the workflow of someone that does use VueScan: http://blog.iansheh.com/2013/04/how-to-get-the-best-scans-from-vuescan-profiling-scanning/</p>

<p>Hi M Hdz<br> On Facebook, the Facebook Cover photo "may" look better if it is 100kb or smaller. I don't think that is true of other photos. So as already mentioned, picking a size larger than 100kb can go a long ways.<br> Couple other points<br> In the save for web panel I would recommend always checking convert to sRGB and also embed profile. It takes up a lot less room and may help avoid some color issues in browsers that are not color managed.<br> There is a drop down in the upper right corner of the save for web panel where you can choose the target size for the file.<br> <br />Finally, here is a link with some good tips on quality images in Facebook: http://benrequena.com/facebook-image-sizes-guide/<br> Hope the above helps some.</p>

<p>Hi Eric<br /> No, the contrived case is easy to create with two simple Layers and a single blend (more below).</p> <p>The artifacts of the type I mentioned occur when there are high contrast and tack sharp lines. The artifacts of this nature are of the single pixel dimensions. To be noticeable, those high contrast tack sharp lines need to be of a dimension that the eye will notice (something just a few pixels long would be ignored by the eye).</p> <p>Therefore, if the elements are not tack sharp, have any blur, introduced anti aliasing, or at any point along the workflow downsized with a flattened Layer, then the artifacts prominence will fade. That's why they are not seen more often.</p> <p>My purpose in the examples is to offer a more definitive answer on what order to use as a default workflow to consider, to avoid potential problems. This is similar to the advice I give of operating in 16 bit mode until as late in the workflow as possible. Is 16 bit needed for most images. Probably not, yet it keeps you out of trouble when 8 bit does not quite do the job (and quite possibly a lot of work to backtrack and redo the work in 16 bit). Likewise, one could continue resizing first and when the run into trouble, backtrack and redo work by Flattening first and then resizing). It just a workflow suggestion based on my own experience on occasionally seeing these types of anomalies and a pretty good understanding of PS of how the artifacts are generated and how to avoid them.</p> <p>In some respects, such artifacts would be more common in line art, created art, or when sharp edges are used in introduced elements such as sharp edge masks or pixel elements are introduced in the image in the image. Very unlikely to be seen on blends of photo Layers to other photo Layers where tack sharp lines are most often non-existent.</p> <p>That said, here are the simple 2 Layer instructions (note only view at 100% or you will likely view artificial artifacts)</p> <p>1) Create a 2x2 pixel B&W checkerboard and define that as a Pattern in PS</p> <p>2) Use any image as the background Layer</p> <p>3) Add an empty Layer above the background photo and fill with the pixel level checkboard pattern</p> <p>4) Try out a blend mode on the checkerboard pattern Layer (you can use my original image post to see which blends have the biggest difference</p> <p>5) Stamp to a third Layer above the first two (equivalent of a flattened Layer)</p> <p>6) Resize down by 50% (many downsize percentages create artifacts, 50% just is real bad for a pixel level checkerboard</p> <p>7) Toggle the visibility of the upper Layer to show the difference of resizing before or after flattening.<br /> <br />----------------------------------<br /> Note: Using the first two Layers of the above example also is a good way to show why viewing at 100% can be important. If you view those two Layers at 50% magnification (no resizing) you will also see artifact creation. That is because displaying at reduced magnification, is very similar to resizing except you are only displaying a rendered downsized result and not changing the pixels. Yet more on this would be for a different thread.</p> <p>Hope the above into was helpful.</p>

<p>You're welcome Chris<br /> <br /> And as a second source of anomalies after flattening first is which rendering choice is made in the Image > Image Resize command.<br /> <br /> Using the same image as in my prior post, the left image is flattening then resizing with automatic rendering (which I used in my prior post) and the one on the right is doing the identical steps except choosing nearest neighbor rendering.</p> <p>The example was created to maximize artifacts so they were clearly visible. Most images will not have any noticeable artifacts or those that exist can be easily overlooked (unless you make a large print). Knowing the better default approach can help one stay out of trouble on those occasions when an image is prone to the creation of artifacts by PS manipulation.</p> <p>So "resizing" does matter :)</p> <p>Resizing with fine pattern high contrast information in the image does not always work well with the nearest neighbor rendering. Automatic works well yet if you find suspected anomalies, you can always try another rendering option.<br /> <br /> <br />To see the 100% view right click on image and download or view on your local viewer<br /> <img src="http://jkwphoto.smugmug.com/photos/i-jTnWf89/0/O/i-jTnWf89.png" alt="" width="660" height="810" /></p>

<p>Andrews comments lead right into the example below.<br> <br /> Just one source of anomalies that can be created by resizing fist is that Photoshop resizes the pixels on each Layer by itself as well as the Layer mask by themselves. When high contrast adjacent pixels exist, they are merged into closer to a gray. How that gray operates in masks or in Layer blends is totally different than if you flatten first.<br> <br /> I have wanted to create this simple example below for some time so this was a good opportunity to complete the project. It shows the same file on the left as on the right with the exception that the left side was flattened that resized by 50% and the right size was resized by 50% and then flattened. The left side gives the correct rendition every time.<br> <br /> The base image is created with a horizontal spectrum gradient.<br /> The second Layer is simply a pixel checkerboard of black and white pixels.<br /> I duplicated the upper layer 27 times, masked a horizontal slice and assigned a different blend to each of those duplicated Layers.<br> <br /> When you resize first, the black and white checkerboard turns into a solid gray first. This totally changes the blend compared to adjacent black and white pixels in most cases.<br> <br /> The example below does not cover all cases of blends as not all blends are commutative by Layer. Also, just because one type of blend looks like it works resizing first, I assure you, I can craft an example where it will not work right.<br /> Even though this is a contrived worst case example, it graphically shows how high contrast and high frequency content can create a huge difference between the resizing first vs flattening first.<br> <br /> The image is large and scaled down by photo.net, so if you want the 100% view use this link: http://jkwphoto.smugmug.com/Other/Photonet/41170890_tSbB5W#!i=3839141482&k=gkVDpsT&lb=1&s=O<br /> <br /> The image below is somewhat shrunk by photo.net yet should show the problem with resizing first:<br /> <img src="http://jkwphoto.smugmug.com/photos/i-gkVDpsT/0/O/i-gkVDpsT.png" alt="" width="840" height="810" /></p>

<p>Hi Chris<br> IMHO (and experience) it is possible to create more anomalies if you resize before flattening. <br> In addition, so you are not viewing (or missing) artificial artifacts, best to do your viewing at 100% (even more important if you have not flattened). PS and the display driver can both introduce artificial artifacts viewing Layered images at non-100% under various conditions.<br />Some simple example images to demonstrate later this evening.</p>

<p>Others have reported problems and in this link it indicated for that person it was a software problem. Not sure if this is a driver issue or a hardware issue: http://www.photo.net/digital-darkroom-forum/006yOO<br> FYI</p>

<p>Hi Jeremy<br> To have better reach into the aquarium you need to know the "working distance" when viewing at minimum focus distance to get 1:1 magnification. That is the distance from the end of the lense to the subject in those conditions. Most manufacturers do not publish that number has they only give the minimum focus distance as measured somewhere on the lens (or focal plane). <br> Here is a link that might help as I think it covers several macro lenses: <strong>http://tinyurl.com/ny8opd8</strong><br> Also note that you have a slight advantage shooting into water because the refraction of the water allows you to focus deeper into the water so that adds a tad as well.<br> <br />I don't know enough about the lenses for their quality yet always good to look at the MTF curves and seek the experience of others with those lenses. <br> Enjoy your new lens no matter what you get. :)</p>