𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Improving image quality for block coding by image division method

✍ Scribed by Zhong Zheng; Masayuki Nakajima; Takeshi Agui


Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
1007 KB
Volume
23
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

In block coding, the original image is divided into square blocks composed of N Γ— N pixels, and the coding is applied to each block. When the image is coded at a low bit‐rate, however, there is often produced a block noise in the reconstructed image. When a block noise is produced in the part of the time where the change of the gray‐level is slow, the noise deteriorates the image quality greatly.

To reduce the block noise, this paper proposes three methods of image division. Let the blocks in a horizontal row in the conventional divided image be called a block row. In the first method, the division is executed by moving each block row in the horizontal direction. The amount of translation is determined by a random variable. The second method divides the original image by the rectangular block, and then each block row is moved as in the first method. The third method divides the image using an octagonal block. It is verified by experiment that the block noise can be reduced by the proposed image division.


πŸ“œ SIMILAR VOLUMES


Compression of Binary Images by Composit
✍ Pasi FrΓ€nti; Olli Nevalainen πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 516 KB

Composite methods for compressing binary images are studied. Hierarchical block coding is the main component in all of them. An attempt is made to increase the compression by augmenting the block coding by predictive coding and bit row reordering. The purpose is to increase the number of white pixel

SVM approximation for real-time image se
✍ J. MitΓ©ran; S. Bouillant; E. Bourennane πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 829 KB

A real-time implementation of an approximation of the support vector machine (SVM) decision rule is proposed. This method is based on an improvement of a supervised classification method using hyperrectangles, which is useful for real-time image segmentation. The final decision combines the accuracy