Time to be with your loved ones

Time to be with loved ones

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7

Photoshop has certainly been used somewhere along the line. Either the 'floating' lenses and flashgun were photographed separately in the same lighting conditions and then composited into the main shot, or the photographer used string or fishing line to suspend them somehow and then Photoshopped it out.


6

There is a method that can yield some good results given good enough original photos. I don't have the original article on hand, but I can describe the method, but it's up to you to find the particular details that you need to get your desired results. Let's start by merging just two images. Load them in a single Photoshop document's layers. It doesn't ...


5

These are not bad IMO. The color is a bit over saturated and dark, but I didn't see any objectionable grain on my calibrated display. Remember, if they print these, the effective resolution may not be the same as viewing them full screen on a large display, so what you see in a blown up image may be invisible in the print. If, at the print size, you don't ...


5

The image in the preview comes from an embedded JPEG inside the raw file which was generated by the camera, while the image you see when you open the raw file is generated based on the raw data. The raw image data is captured from the camera at a point before the contrast and color settings are applied. Every manufacturer's camera comes with embedded color ...


4

This is noise and the rule with photos is the same as most things, crap in, crap out. You can't magically generate information for an image that isn't present in the first place. You can reduce the quality, either through reducing resolution or averaging pixels (which effectively reduces resolution). This averaging tends to make random noise go down ...


4

This is a prime example of why it is wise to shoot in RAW. With RAW images, it is a simple matter to bring down the highlights in the exposure and spots like this will mostly disappear. In the case of extreme highlights (even in RAW) or shooting JPEG, there isn't actually any information to replace the white spot with, so you will have to create your ...


2

This can be fixed with the patch tool in Photoshop, or simple cloning if the surrounding areas are similar. The healing brush is also a great tool, but depends more in the brightness of the surrounding pixels and the size of the brush your using to get it to work correctly. Posting a larger un-cropped image would help in this case.


2

I would agree they are not bad... They are some things in post that she could do to take them to the next level but before you do anything you need to calibrate all of your monitors. In post for example there are quite a few pictures that I would adjust the brightness (increase) and saturation (lower) of the red, yellow, and orange channels. As far as grain ...


2

First, that's not a 360° panorama, but a 180° one. However, that doesn't change how this was done. This image was made by stiching together several more narrow-angle images. This process is generally called making a panorama. Some camaras have panorama capability built in. You take a few picture in succession and the clever firmware finds the ...


2

The lenses are most likely hanging from black cotton thread. That would be easy to edit out, if it was even visible at all. In particular, the lens on the left is at about the right angle for being suspended by a loop of thread around its top end; the one on the right looks like it would need two strings to support it. However, having now read Hugo's answer ...


1

The easiest way to compose it in photoshop is by photographing the lens and flash on a contrasting background (e.g. bright green) and then use the mirror shot as a background. You can clearly see this is photoshopped because there is no reflection of the lenses in the mirror. There is also a depth error on the flash (it looks like it's behind the guy's ...


1

You do not say how you obtained this image at this pixel size or how it was generated. If you know you should say as it has a marked effect on the answer. The answer is "no, because..." but the "because" varies with the above answer. This is NOT noise in the sense that it is usually meant. As presented the 'noisiness' of the image has been caused by ...


1

Whether this is better or not is highly subjective. It definitelly looks blurred compared to original, but we also have to be aware that sharp noise on top of a slightly blurred image makes the latter sharper. This is what I've done: Copied image layer and applied High pass (1.0) on it Inverted the grey layer and then set it to overlay Copied the same ...


1

Do you really have to assign blame? Those are the photos you have. You can delete them and forget the fiasco entirely or keep them as a reminder of one or more of the following: High ISO image-noise. Poor performance of the camera at high ISO. Inadequate choice by the photographer to increase ISO instead of something else such as a brighter aperture or ...


1

it looks to me like you shot direct to jpeg and has high iso NR on, or applied some NR in post and stored in jpeg with too much compression on. Yes, it is caused by noise on the dark areas (black suits look the worst, but you could have avoided the funny texture if you shot raw and didnt do NR and stores in high quality jpegs (80-100%). it would look noisy ...


1

You can try layer via cut instead of copy If you have an image which has a large distance range in it (e.g. close distance shots instead of panoramas) you can imitate the distance function by first duplicating the background and blurring it. After blurring the duplicate, you should add layer mask and change the layer mask to a gradient in the direction of ...


1

Although the color information loss is clearly not avoidable in this kind of 8-bit transformation, you can have a better behaving image if you accept a bit of a loss in sharpness... I do not know in other programs, but in darktable you can use t he module "dithering": I tried the same trick on a small jpeg image, and this is the result: before: and ...



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