Recursive procedures used for sequential calculations of polynomial basis coefficients in
discrete orthogonal moments produce unreliable results for high moment orders as a result …

The human visual systems are able to perceive various intensity of the colour image while it
is not able to respond small different colour signals of the image. The sensitivity of the color …

Orthogonal moment is known as better moment functions compared to the non-orthogonal
moment. Among all the orthogonal moments, Tchebichef Moment appear to be the most …

Speech recognition is still a growing field. It carries strong potential in the near future as
computing power grows. Spectrum analysis is an elementary operation in speech …

Colour image carries a certain amount of perceptual redundancy for the human eyes. The
human eye is capable of perceiving various levels of colours. The sensitivity of human eye is …

Orthogonal moment functions have long been used in image analysis. This paper proposes
a novel approach based on discrete orthogonal Tchebichef Moment for efficient image …

This paper proposes a new approach based on 4× 4 discrete orthogonal Tchebichef
moment for fast and efficient image compression. The method incorporates a simplified …

Currently, mobile image applications spend a lot of computing process to display images. A
true color raw image contains billions of colors and it consumes high computational power in …

Super-resolution is a set of methods of increasing or doubling image resolution. Super-
resolution algorithms can be divided into frequency or space domain. In this paper, a simple …

Discrete Orthonormal Transform has been a basis for digital image processing. The lesser
coefficients of a Discrete Orthonormal Transform to reconstruct an image is the more …