Photoshop: jpg artifact and noise reduction

A very basic explanation of removal of jpg artifacts in the Noise Reduction filter, discussing the potential tensions between different aims. Improves, but does not produce a high quality image.
An interesting approach using Lab Colour mode to separate out the lightness, colour and contrast channels of the image. Artifacts are most evident in the colour and contrast A and B channels. Add Gaussian blur to A and B channels. Higher values give a sort of watercolour effect. Sharpen the lightness channel. Go back to RGB at the end to use filters etc again.
Duplicate the image. On top layer use surface blur – avoids blurring the edges. Change to colour blend mode to get rid of colour noise. Mask areas if necessary. Duplicate again and use dust and scratches filter gets rid of luminance noise. Again use masks to [reserve details. Duplicate again and Reduce Noise filter and use preserve details slider.
Uses multiple images as layers and image average.

Photoshop sketch and line drawings

Jesus Ramirez Photoshop Channel
1) isolate model from background eg select subject and click on add mask. refine selection.make smart object.
2) Duplicate: original, base,
3) duplicate, invert .colour dodge blend. Gaussian blur filter eg 31.8. black and white adjustment layer Charcoal filter. blend mode multiply
4) Lines layer: duplicate BW, glowing edges,invert, multiply blend. levels. blend if to hide detail.
5) Fine tune with mask
6) Add some fine pencil lines with brush tile ultimate pencil
7) Can then replace the original image in the smart object and re-edit the smart filters
Piximperfect.
1) Create the surface and base image. Mask areas you do not want.
2) Pencil sketch filter Graphic pen . use blend if to vary blackness. Split slider. Decrease opacity. Add a bit of blur .3
3) New layer pencil outline Kyle Ultimate pencil. Clip layer to sketch, so is never darker than under sketch. Can turn off pencil layer top follow the underlying photo if wsnt.
Normal colour dodge approach: BW, BW, copy, invert, blend colour dodge, filter Gaussian Blur
His approach:
Smart Object layer ‘Shadows’
#3 filters: Copy, Gaussian Blur, High Pass, Sketch/notepaper 0 0 25 Levels adjust
Shadows layer: charcoal filter. multiply.
Can add paper texture. Multiply.
Can change image.
Tony Harmer ‘The Design Ninja’ approach.
Uses 1 Smart Object layer
1) Gaussian blur. dial in large value (eg 50) Divide blend mode
2) CRaw filter. Black and white.
3) Can add glowing edges. Subtract blend.
4) Oil paint filter
5) fine tune with local effects using CRaw adjustment brush on new layer
6) Can change the image through re-linking the base file.
Colin Smith Photoshop cafe
1) Duplicate layer CSU black and white Colour Dodge. Gaussian Blur
2) Duplicate again invert
3) Combine to layer group and duplicate. Blur top layer even more. Blend top group to darken. Reduce opacity in top layer
4) Duplicate top layer group increase top blur a lot. Add layer mask, fill black and paint in. Largeish brush 30%. Additional details in face and hair.
5) Select everything SACE for sharpening mode. Overlay blend. High Pass.
Uses brushes and masks.

Shutterstock

My Shutterstock portfolio includes:

  • Lake District (48 images in colour and monochrome processed in Lightroom and/or Viveza)
  • Norfolk: Burnham Overy Staithe (34 colour images processed in Lightroom, including abstract seascapes)
  • Suffolk: Orford Marshes (10 colour, monochrome and split tone images processed in Lightroom and/or Silver FX)
  • Norfolk: Hunstanton (39 ‘English seaside on a cold New Year’ colour images processed in Lightroom) and Norfolk: Cromer (5 colour images including 2 that were substantially processed in Lightroom to correct lighting and perspective, and 2 ‘nostalgic sea-side images in Analog Pro)
  • Cambridge: River Cam (17 abstract and 17 semi-abstract images and 18 ‘Abstract reflections’ that I aim to develop further together with more ‘Edgelands’ images as part of Assignment 4 ‘Cambridge Chronicles’
  • Suffolk: Aldeburgh (28 high colour images of Aldeburgh Carnival 2016 around ideas of ‘Englishness’ and ‘English Holiday’ ‘English seaside’ and quirkiness processed in Lightroom only) that I intend to revisit as part of work on ‘English seaside nostalgia’ together with:
  • Suffolk: Orford Quay (16 ‘Brexit’/’British’ images processed in Lightroom that will form part of Assignment 5 ‘A Very British Day Out’ together with photos of National Trust’s Orford Ness for which I need a professional photographer’s license to publish)

My experience so far has been broadly positive – good resources database on areas like intellectual and privacy rights, technical tutorials and quick and helpful response to some queries I had. I have learned a lot technically. and the experience has taught me a lot so far. Most of my 220 images were accepted when submitted first time (having consulted all their documentation first). The main reasons for rejection have been because of issues like titling, editorial vs commercial categorisation or keywording. Only 3 have so far been terminally rejected on jpg quality issues, but even these I think I plan to re-submit as more artistic creations using NikFX.

Photos that sold

Sales have been less successful. Shutterstock is generally considered by You Tube contributors to give highest income because of volume of sales rather than percentage of price. But in order to make substantial income you need to have around 2-3,000 images and constantly have a drip of new images going on. I have so far sold two images for the huge total of USc50! The first download was someone local in Isleham, Suffolk and the second someone in Korea.

The first two images are suitable for backgrounds, rather than editorial. They are also desaturated and different from the overwhelming majority of highly sharpened and highly saturated tourist images. Possibly this distinctive style is one of the ‘niches’ where I may eventually choose to focus. Particularly as I enjoy the experience of taking and processing these types of landscape image and would like to develop my photographic as well as software processing skills.

Carnival image

A third image accepted after two months (showing that images are not necessarily lost) was a colourful editorial image from Aldeburgh carnival.


Shutterstock Technical Guidelines

Inspect all images at 100% resolution

1) For Commercial Stock: trademark issues (send as editorial)

  • no brand names
  • no IPP
  • keywords should not contain trademarks
  • no isolated pictures of single buildings and avoid landmark modern buildings

2) Noise

  • filmgrain
  • compression artefacts
  • posterisation
  • check skies and shadows

3) Composition/Concept

  • what is concept? what could it be used for?
  • arrangement not optimal. leading lines, rule of thirds. use in-camera grid
  • distracting elements
  • horizon line crooked
  • negative space so customers can insert text
  • shoot from different angles

4) Focus

  • Focus a bit too soft. try single and continuous focus
  • Camera shake: stabilise yourself against a tree, elbows in and don’t breathe
  • avoid zoom lens or move closer

5) Exposure

  • under or over-exposed – use histogram and correct
  • not good lighting
  • avoid midday, ‘golden hours’ 1 hour before or after sun

If rejected

  • look at on-line resources
  • use critique section on forums
  • sometimes they do make an error
  • make correction and re-submit

Shutterstock Experiences from other stock photographers

Shutterstock You Tube tutorials

Preparing for upload

Meta-data keywords

Copyright issues

Addressing reasons for rejection

Very useful tips on resizing and resubmitting photographs.

Illustration