Getting In-depth about Digital Image Processing

Digital image processing is an important task that is vital for almost any business in any field out there – multimedia, security, medicine, biometrics, remote sensing, robotic, etc. Small and mid-sized businesses as well as start-ups and multinational organizations are all dependent on image processing, and make use of image technologies in their functioning. This need to manipulate this image data leads them to BPO company and business process outsourcing.

What Is Image Processing?

Image processing, normally referring to digital image processing, is basically signal processing involving the input of a video frame, photograph or any image, and receiving the output which could be parameters or characteristics in relation to the picture or another image. In most cases images are considered 2D signals with the usual techniques of signal processing being applied. Imaging is the first process involved in image processing, and refers to acquiring and presenting the input image.

The image presents data that is manipulated through many techniques. The data covers aspects such as brightness values, pixel ratio, etc. Image processing could also be carried out optically. Digital processing of the image involves converting the image to, or outputting from the image, a range of numbers which the respective software program of the computer manipulates. For example, the image’s brightness value at a specific location is referred to as a pixel or picture element. These are the kind of numbers that will be gleaned from the image.

Digitization and After

Following the digitization of the image, there are a few operations that can be performed on it that help its enhancement, compression or restoration. A point operation involves the output image’s pixel value depending on one pixel value of the input image. Local operations involve the input image’s neighboring pixels determining a pixel’s value in the output image. Global operations involve all the pixels of the input image contributing to the pixel value of the output image. These operations are taken either individually or are combined to form the basis by which the restoration, enhancement or compression of an image is carried out.

Image Processing Operations

In detail, some of the image processing operations include:

* Rotation, enlargement or reduction of the image

* Correcting color such as adjusting brightness and contrast, carrying out tasks such as color balancing, color mapping, color translation, etc.

* Digital composting or combining two images or more for optical compositing

* Demosaicing, interpolation as well as full image recovery from raw image format

* Aligning more than one image for image registration

* Morphing and differencing of images

* Extracting text from images through OCR or OMR techniques for image recognition

* Segmentation of image

* Combination of multiple images for HDRI (high dynamic range imaging)

* 2-D object recognition with geometric hashing

Applications of Image Processing

The applications of image processing include feature detection, face detection, remote sensing, optical sorting, medical image processing, morphological image processing, microscope image processing, augmented reality, lane departure warning, and computer vision.

For applications such as feature extraction, classification, pattern recognition, multi-scale signal analysis and projection, digital image processing is the only feasible technology. Digital image processing includes techniques such as pixelization, principal components analysis, independent component analysis, linear filtering, wavelets, partial differential equations, neural networks, and self-organizing maps.

Image processing is one of those BPO services critical for the functioning of many kinds of businesses. Effective image processing improves efficiency of the task.