Wednesday, July 4, 2012
Monday, January 16, 2012
Monday, January 9, 2012
The coolest photography challenge on the web!
Facebook Daily Photo Challenge is growing.Want to see what the members are uploading towards the open themed challenges today?
Come visit us at this link:-)
Labels:
Daily Challenge,
Digital Photographer,
Facebook,
Photo Blog,
Photography
Wednesday, June 16, 2010
[Trick] Which Sharpening Method do I use?
I keep seeing this question from people who now have access to a digital camera and want to create the best image they can out of it.
Regardless of what some people may claim, there is no single sharpening method/parameters that will work on all kinds of images. What method you use, and what parameters you use, will (and should) depend on the nature of features in the image, the size of the image, the amount of noise in the image, and what you want the final results to convey aesthetically.
Example: you have a macro shot, and you want to accentuate the fine tentacles on a spider's arms. You cannot just use the Librodo sharpening method with those parameters. It may work, it may not. The reason being: most sharpening filters are a combination of one or more 'local' image operations, and one inherent part of a filter's definition is its 'scale' (meaning what is the local area of impact of the filter). So let's say you want to use a RAW image of dimensions 4000x4000 (example only), and you know that a single tentacle spawns over 3 pixels in width in the image, it won't serve you any good by specifying the filter size to 0.1 pixels. On the other hand, if you downsized the image to say 800x800, now you may be able to use a sub-pixel filter size.
In summary, there is no such thing as a 'generalized sharpening method'. You will have to tweak and create one that suits your needs for a given image, and what you want to achieve with it.
ETA: In general, it helps to do these steps generally in this order:
- On a full resolution (RAW) image, de-noise it first
-- To do this, you will need to understand the type of noise. Generally its randomly distributed, but may not be equally distributed across all three channels, and may be more prevalent in dark areas. Either you trust the NeatImage sorta filters, OR you zoom in the image, and understand the nature of the noise, and play around with parameters for the method to reduce it. The most basic method would be to apply a gaussian smoothing, with filter size of the order of a single noise element
- Do any other post processing here (layers etc) (optional)
-- If you sharpen (unsharpen) here, make sure to pay attention to the 'scale' of the feature that you want to preserve/accentuate.
- Down size the image, with the 'best interpolation' method available to you
-- Use the option to keep the sharpness upon down sampling if you already did all the pre processing before and just want to create the final image now
-- Use the option to keep smooth gradients in the image if you intend to do the post processing on the reduced size image
- Do any remaining post processing here
-- If you sharpen (unsharpen) here, make sure to pay attention to the 'scale' of the feature that you want to preserve/accentuate.
Here is a good article on sharpening.
Hope that helps...
Regardless of what some people may claim, there is no single sharpening method/parameters that will work on all kinds of images. What method you use, and what parameters you use, will (and should) depend on the nature of features in the image, the size of the image, the amount of noise in the image, and what you want the final results to convey aesthetically.
Example: you have a macro shot, and you want to accentuate the fine tentacles on a spider's arms. You cannot just use the Librodo sharpening method with those parameters. It may work, it may not. The reason being: most sharpening filters are a combination of one or more 'local' image operations, and one inherent part of a filter's definition is its 'scale' (meaning what is the local area of impact of the filter). So let's say you want to use a RAW image of dimensions 4000x4000 (example only), and you know that a single tentacle spawns over 3 pixels in width in the image, it won't serve you any good by specifying the filter size to 0.1 pixels. On the other hand, if you downsized the image to say 800x800, now you may be able to use a sub-pixel filter size.
In summary, there is no such thing as a 'generalized sharpening method'. You will have to tweak and create one that suits your needs for a given image, and what you want to achieve with it.
ETA: In general, it helps to do these steps generally in this order:
- On a full resolution (RAW) image, de-noise it first
-- To do this, you will need to understand the type of noise. Generally its randomly distributed, but may not be equally distributed across all three channels, and may be more prevalent in dark areas. Either you trust the NeatImage sorta filters, OR you zoom in the image, and understand the nature of the noise, and play around with parameters for the method to reduce it. The most basic method would be to apply a gaussian smoothing, with filter size of the order of a single noise element
- Do any other post processing here (layers etc) (optional)
-- If you sharpen (unsharpen) here, make sure to pay attention to the 'scale' of the feature that you want to preserve/accentuate.
- Down size the image, with the 'best interpolation' method available to you
-- Use the option to keep the sharpness upon down sampling if you already did all the pre processing before and just want to create the final image now
-- Use the option to keep smooth gradients in the image if you intend to do the post processing on the reduced size image
- Do any remaining post processing here
-- If you sharpen (unsharpen) here, make sure to pay attention to the 'scale' of the feature that you want to preserve/accentuate.
Here is a good article on sharpening.
Hope that helps...
Labels:
Canon 40d,
Canon 50d,
D90 Nikon DSLR images,
Photoshop,
Sharpening,
Trick,
Tutorial
Monday, June 7, 2010
Thursday, May 27, 2010
Wednesday, May 26, 2010
Nikon D90 Best Pictures Challenge [2010-002] [Theme: Candid]
Nikon D90 Best Pictures Challenge [2010-002] [Theme: Candid] is now open for submission. Please submit your image to win the challenge ribbon and a place on the Nikon D90 wall of elites.
Good Luck!
Admin.
Nikon D90 Challenge.
Good Luck!
Admin.
Nikon D90 Challenge.
Saturday, May 22, 2010
[Candid Photo] Keeping An Eye...
This is my entry to JPGMAG's 'Traditions' issue. Please click on the image to goto the entry page, and vote if you like it.:-)
Thursday, May 6, 2010
Sunday, May 2, 2010
Nikon D90 Pictures Index
Still images:
Sample Nikon D90 Images [000].
Sample Nikon D90 Images [001].
Sample Nikon D90 Images [002].
Sample Nikon D90 Images [003].
Sample Nikon D90 Images [004].
Sample Nikon D90 Images [005].
Sample Nikon D90 Images [006].
Sample Nikon D90 Images [007].
Sample Nikon D90 Images [008].
Sample Nikon D90 Images [009].
Sample Nikon D90 Images [010].
Low-light test images:
Sample Nikon D90 Images [001].
Sample Nikon D90 Images [002].
Videos:
Sample Nikon D90 Video [000].
Sample Nikon D90 Video [001].
Sample Nikon D90 Video [002].
Sample Nikon D90 Video [003].
Sample Nikon D90 Images [000].
Sample Nikon D90 Images [001].
Sample Nikon D90 Images [002].
Sample Nikon D90 Images [003].
Sample Nikon D90 Images [004].
Sample Nikon D90 Images [005].
Sample Nikon D90 Images [006].
Sample Nikon D90 Images [007].
Sample Nikon D90 Images [008].
Sample Nikon D90 Images [009].
Sample Nikon D90 Images [010].
Low-light test images:
Sample Nikon D90 Images [001].
Sample Nikon D90 Images [002].
Videos:
Sample Nikon D90 Video [000].
Sample Nikon D90 Video [001].
Sample Nikon D90 Video [002].
Sample Nikon D90 Video [003].
Friday, April 30, 2010
[Sample Pictures] Nikon D90
Sample images from our Hawaii trip last year (Sept 2009). Comments/criticism welcome.
Enjoy!
Note. All pictures are copyright of Prashant Chopra, 2009-2099. (Smart embedded watermarks will trigger an email if they are posted without permission).

All pictures are copyright of Prashant Chopra, 2009-2099. (Smart embedded watermarks will trigger an email if they are posted without permission).
Note. All pictures are copyright of Prashant Chopra, 2009-2099. (Smart embedded watermarks will trigger an email if they are posted without permission).

All pictures are copyright of Prashant Chopra, 2009-2099. (Smart embedded watermarks will trigger an email if they are posted without permission).
Wednesday, April 28, 2010
Review: Nikon D3000, Nikon D5000, and Nikon D60 Comparison
Courtesy dpreview.com.
Nikon D3000 | Nikon D5000 | Nikon D60 | |
|---|---|---|---|
| Sensor | • 10.2 million effective pixels • 23.6 x 15.8 mm CCD (DX format) | • 12.3 million effective pixels • 23.6 x 15.8 mm CMOS (DX format) | • 10.2 million effective pixels • 23.6 x 15.8 mm CCD (DX format) |
| Image sizes | • 3872 x 2592 (10MP) • 2896 x 1944 • 1936 x 1296 | • 4,288 x 2,848 (12 MP) • 3,216 x 2,136 • 2,144 x 1,424 | • 3872 x 2592 (10.0 MP) • 2896 x 1944 • 1936 x 1296 |
| Sensor cleaning | • Image Sensor Cleaning • Airflow control system • Image Dust Off reference data (optional Capture NX 2 software required) | • Image Sensor Cleaning • Airflow control system • Image Dust Off reference data (optional Capture NX 2 software required) | • Image Sensor Cleaning • Airflow control system • Image Dust Off reference data (optional Capture NX 2 software required) |
| Autofocus | • 11 area TTL • Nikon Multi-CAM1000 | • 11 area TTL • Nikon Multi-CAM1000 | • 3 area TTL • Nikon Multi-CAM530 |
| In-body focus motor | • No | • No | • No |
| AF area modes | • Single point • Dynamic area • Auto area • 3D Tracking (11-points) | • Single point • Dynamic area • Auto area • 3D Tracking (11-points) | • Single point • Dynamic area • Auto area (closest subject priority) |
| Live view AF modes | N/A | • Face priority • Wide area • Normal area • Subject tracking | N/A |
| Sensitivity | • ISO 100 - 1600 • ISO 100-3200 with boost | • ISO 200 - 3200 • ISO 100-6400 with boost | • ISO 100 - 1600 • Up to ISO 3200 with boost |
| Continuous | • 3 fps • 100 / 7 frames (Fine JPEG / raw) | • 4 fps • 63 / 11 frames (Fine JPEG / raw) | • 3 fps • 100 / 9 frames (Fine JPEG / raw) |
| Viewfinder type | • Pentamirror | • Pentamirror | • Pentamirror |
| Viewfinder magnification | • 0.78x | • 0.78x | • 0.8x |
| Viewfinder Frame coverage | • Approx. 95% | • Approx. 95% | • Approx. 95% |
| LCD monitor | • 3" TFT LCD • 230,000 pixel TFT | • 2.7" TFT LCD • 230,000 pixel TFT • Articulated | • 2.5" TFT LCD • 230,000 pixel TFT |
| Dimensions | 126 x 97 x 64 mm (5.0 x 3.8 x 2.5 in) | 127 x 104 x 80 mm (5.0 x 4.1 x 3.1 in) | 126 x 94 x 64 mm (5.0 x 3.7 x 2.5 in) |
| Weight | • No battery: 485 g (1.1 lb) • With battery: 536g (1.2 lb) | • No battery: 560 g (1.2 lb) • With battery: 611g (1.3 lb) | • No battery: 471 g (1.0 lb) • With battery: 522g (1.2 lb) |
| Image processing engine | • Expeed • 12 bit | • Expeed • 12 bit | • Expeed • 12 bit |
| Active D-lighting | On/Off | Can be selected from Auto, Extra high, High, Normal, Low, or Off | On/Off |
| Automatic chromatic aberration correction | No | Yes | No |
| In-camera retouching | • D-Lighting • Red-eye reduction • Trimming • Monochrome & filter effects • Color balance • Small picture • Image overlay • NEF (RAW) processing • Quick retouch • Color outline • Miniature effect • Stop-motion movie | • D-Lighting • Red-eye reduction • Trimming • Monochrome & filter effects • Color balance • Small picture • Image overlay • NEF (RAW) processing • Quick retouch • Straighten • Distortion control • Fisheye • Color outline • Perspective control | • D-Lighting • Red-eye reduction • Trimming • Monochrome & filter effects • Color balance • Small picture • Image overlay • NEF (RAW) processing • Quick retouch • Straighten • Distortion control • Fisheye • Stop-motion movie |
| Movie mode | No | Yes | No |
| Live View | No | Yes | No |
| Bracketing | No | Yes | No |
Labels:
Comparison,
dpreview.com,
Nikon D3000,
Nikon D5000,
Nikon D60
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