1. Background and motivation Multi-dimensional image processing is of paramount importance in areas such as multimedia, robotics, computer vision, graphics, biomedical engineering and industrial inspection. The growing interest in the development of multi-dimensional image processing techniques should be attributed primarily to the importance of color image and video processing and analysis. Pr...

Here we present results on 2D electrophoresis gel image processing using methods that provide a measure of meaningfulness. This work is part of an ongoing project on biomedical image analysis. Biomedical sciences have a long tradition in our country and therefore there is extensive experience in this area. Unfortunately, economical restrictions sometimes do not allow our researchers to have the...

This chapter presents the proposed color texture segmentation approach based on Reduced Biquaternions (RBs) and Discrete Wavelet Transform (DWT). Color and texture are the two essential features in color image analysis. The perception of color is of paramount importance in application areas such as multimedia, computer vision, graphics, biomedical signal processing, and industrial inspection. H...

This paper presents state of the art literature survey on design and development of lossless and lossy compression techniques for bio-medical images in general and performance analysis in particular. Image compression is one of the successful, predominant and inevitable research areas in the field of image processing and wavelet is a cutting edge technology. A wide variety of image coders has b...

JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...

Research on digital image processing technology, which began in 1960s, stepped into an active research stage in late 1970s and early 1980s. It was firstly used in industrial and biomedical fields. Although it put into use in agricultural research very late, it has a broad prospect. In order to realize navel orange grading, this paper used Visual C # .NET program to develop navel orange shape an...

The paper presents selected mathematical methods of digital signal and image processing based upon the use of wavelet transform and signal decomposition with applications in system identification, analysis and modelling. The main part of the paper is devoted to signal de-noising using hard and soft thresholding and to the recovery of degraded parts of signals and images. The wavelet transform a...

Target detection via digital image processing is crucial to biomedical diagnosis and homeland security. Both image contrast enhancement and image segmentation are among the most practical approaches of image processing. Under conditions of improper illumination and unpleasant disturbances, adaptive image enhancement can be conducted, which adapts to the intensity distribution within an image. I...