Paper Type |
: |
Research Paper |
Title |
: |
Improved Block Truncation Coding Using Dot Diffusion
Algorithm |
Country |
: |
India |
Authors |
: |
Jinimol baby || Priyanka Udayabhanu |
Abstract: Block Truncation Coding, or BTC, is a type of lossy image compression technique
for grayscale images .The BTC algorithm uses a two-levels (one-bit) nonparametric quantizes that adapts to
local properties of the image. How-ever, its inherent artifacts, blocking effect and false contour, caused by low
bit rate configuration are the key problems. To deal with these, an improved BTC, namely dot-diffused BTC
(DDBTC), is used. In this paper we improved current method of Block Truncation Coding Using Optimized Dot
Diffusion. Dot-diffused BTC image compression technique which can yield excellent image quality and
processing speed. But the image Quality is depending on class matrix and diffusion kernel which is calculated
by co optimization algorithm.
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