Image Processing Techniques in Computer Graphics

Image Processing:

Developers can create bitmaps by scanning photographs with a colour scanner. They also can create bitmaps by digitizing video frames using a video camera and frame-grabbing equipment. Once the images convert into any bitmapped format. Pixel-by-pixel processing operations can then be carried out on the image using standard image processing tools. These operations sharpen the images and also create interesting effects. Some Image Processing Techniques are given below:

Image Processing Techniques:


A histogram graph defines the number of pixels at each brightness level in an image. The X-axis of the histogram represents the colour value from darkest at the far left to brightest at the far right. The Y-axis represents the total number of pixels with a given value. If the part of the image selects, the histogram represents only the selected pixels.

A histogram can scrutinize to ascertain,
1. If the image portion is too dark or too light.
2. If there is too little contrast or too much.
3. If there is a colour cast that should be removed.


Filters are great tools for modifying image qualities by blurring or sharpening. These tools are used for changing focus or colours and creating bumps or extractions. It can use to obliterate image data and replace it with a new image and apply special effects etc.

The Blur Filters work by lessening the difference in intensities between adjacent pixels. It also creates softening or blurring of the image. In contrast, the sharpened Filters lighten pixels and darken the darker pixels. It brings the fuzzy edges of objects into better focus to make the image appear more distinct.

However, using Noise Filters you can eliminate those blemishes by blending them into the surrounding areas. You can simulate the way an object looks when viewed through a glass of water or a pane of glass or when under rippling water. You can also wasp, twist, wrench and bend images into new shapes. All these are done using Distort Filters which work by actually moving pixels around in your image. To simulate the effect of light shining on an image or sun bouncing off the lens, use Render Filters.

Color Control:

There are standard tools that let you change the mixture of colours in a colour image. The Hue, Saturation and Brightness of individual colour channels (RGB or CMYK) can control a select portion of the entire image. You can also choose Shadows, Midtones or Highlights to select the tonal range on which you want to focus the changes.

The mode of image colour can change as often as required. A full-colour image can convert to a greyscale image and controversy a greyscale image can colourize with precise controls.

Object Editing:

It is One of the most interesting features of image processing. It is the flexibility with which the content of an image can modify. In almost all the image editing packages, you’ll find some common tools for painting, selecting, cut-copy-paste operation, erasing, zooming and drawing.