Codecs to convert image without losing quality
A few months ago, there was hot news on codec that converts bitmap images into vector images maintaining the same original quality. Researchers at the University of Bath claimed that this codec will mark an end to the era of pixels.
In a pixel image, point is located in matrix format and it deals with two important terms, definition and resolution. Definition is number of points present in the image and resolution is number of points per unit area.
However, the pixel matrix technology has a downside especially when resizing the image.
When the users try to enlarge or reduce the image it causes users to lose focus. Later to avoid this, designers came up with special design software that creates additional pixels based on neighbouring pixels.
But even so, the picture loses sharpness as its size increases. Using compression algorithms such as JPEG and H.264 made images and HD videos very heavy.
Pixels are old hat and new video codecs are coming
The image is defined by a set of mathematical equations. The vector form indicates a number of specific shape parameters such as height, width or radius.
So in such case, the image will be resized without any loss of quality as with the pixels. It is well known that vector processing is rarely used in digital image and it is primarily used to make clipart images, animations, maps and so on.
The flaw with above technique is, it is difficult to obtain image with exact color shade. Also the operation takes a long time to convert a bitmap image into vector image.
Researchers create vector-based video codec
Now, researchers at the Bath University in United Kingdom have developed a new video codec. The research head, Professor Philip Wills have refused to provide further details on methodology employed.
However, it is known that the codec will be termed as Vector Streaming Video and will be more perfect to convert images retaining the original quality.
The new format is expected to use vectors to render footage with colored contours that will make use of fewer resources than a dot-by-dot approach.
Converting vector images is not new, as specialized programs like Adobe llustrator already do such action. However, the process takes long time and even several other programs were not able to perform such conversion with perfectness.
But the university team is confident enough about the new Vector Streaming Video codec. Researchers predict that this type of codecs will be generalized in next five years.