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IMAGE ENHANCEMENT

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INTODUCTION



Image enhancement is a technique that encompasses processes that aim to improve the quality of the picture.
Augmenting the quality of an image in order to display a fine, vivid and easy to comprehend.


More about Image Enhancement


Image editing encompasses the processes of altering images, whether they be digital photographs, traditional analog photographs, or illustrations.

Traditional analog image editing is known as photo retouching, using tools such as an airbrush to modify photographs, or editing illustrations with any traditional art medium.

Graphic software programs, which can be broadly grouped intovector graphics editors, raster graphics editors, and 3d modelers, are the primary tools with which a user may manipulate, enhance, and transform images.


BASICS OF IMAGE EDITING


Raster images are stored in a computer in the form of a grid of picture elements, or pixels.
These pixels contain the image's color and brightness information.
Image editors can change the pixels to enhance the image in many ways.


Automatic Image Enhancement


Camera or computer image editing programs often offer basic automatic image enhancement features that correct color hue and brightness imbalances as well as other image editing features, such as red eye removal, sharpness adjustments, zoom features and automatic cropping.


Image Size Alteration

Image editors can resize images in a process often called image scaling, making them larger, or smaller.
High image resolution cameras can produce large images which are often reduced in size for Internet use.

IMAGE ENHANCEMENTS

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Introduction

Image enhancements encompasses the processes of altering images, whether they be digital photographs, traditional analog photographs, or illustrations. 
Traditional analog image editing is known as photo retouching.
 Graphic software programs are the primary tools with which a user may manipulate, enhance, and transform images.

Basics of Image Enhancement 

Raster images are stored in a computer in the form of a grid of picture elements, or pixels.
 These pixels contain the image's color and brightness information. 
Image editors can change the pixels to enhance the image in many ways.

Automatic image enhancement

Camera or computer image editing programs often offer basic automatic image enhancement features.
Red eye removal, sharpness adjustments, zoom features and automatic cropping are some of the image editing features.

Digital data compression

Many image file formats use data compression to reduce file size and save storage space.
Some compression algorithms, such as those used in PNG file format, are lossless, which means no information is lost when the file is saved.
 By contrast, the JPEG file format uses a lossy compression algorithm by which the greater the compression, the more information is lost, ultimately reducing image quality or detail that can not be restored.

Selection

One of the prerequisites for many of the applications mentioned below is a method of selecting parts of an image, thus applying a change selectively without affecting the entire picture.
 Most graphics programs have several means of accomplishing this with more advanced facilities such as edge detection, masking, alpha compositing, and color and channel-based extraction.

Layers

Another feature common to many graphics applications is that of Layers, stacked on top of each other, each capable of being individually positioned, altered and blended with the layers below, without affecting any of the elements on the other layers.
 This is a fundamental workflow which enables maximum flexibility for the user.

Image size alterations

Image editors can resize images in a process often called image scaling, making them larger, or smaller. 
 Image editor programs use a mathematical process called resampling to calculate new pixel values whose spacing is larger or smaller than the original pixel values.