Scheduled Maintenance on May 23rd, 2017:
IEEE Xplore will undergo an upgrade from 1:00 - 4:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

# IET Image Processing

## Filter Results

Displaying Results 1 - 21 of 21
• ### Accuracy and numerical stability of high-order polar harmonic transforms

Publication Year: 2012, Page(s):617 - 626
Cited by:  Papers (1)
| | PDF (1032 KB)

Invariant moments and transforms are a special kind of statistical measure designed to remain constant after some transformations, such as object rotation, scaling, translation or image illumination changes, in order to improve the reliability of a pattern recognition system. Polar harmonic transforms (PHTs) are one of such image descriptors based on a set of orthogonal projection bases, which are... View full abstract»

• ### Image zooming using directional cubic convolution interpolation

Publication Year: 2012, Page(s):627 - 634
Cited by:  Papers (18)
| | PDF (862 KB)

Image-zooming is a technique of producing a high-resolution image from its low-resolution counterpart. It is also called image interpolation because it is usually implemented by interpolation. Keys' cubic convolution (CC) interpolation method has become a standard in the image interpolation field, but CC interpolates indiscriminately the missing pixels in the horizontal or vertical direction and t... View full abstract»

• ### An orthogonal polynomials transform-based variable block size adaptive vector quantisation for colour image coding

Publication Year: 2012, Page(s):635 - 646
| | PDF (485 KB)

In this paper, a new adaptive vector quantisation with variable block size based on orthogonal polynomials is proposed for colour image coding. The input colour image is partitioned into fixed larger block sizes and the homogeneity/complexity of the local region is tested with the mean-normalised variance classifier. The homogeneous regions are encoded with fixed larger blocks and the complex regi... View full abstract»

• ### Efficient inverse transform architectures for multi-standard video coding applications

Publication Year: 2012, Page(s):647 - 660
| | PDF (1042 KB)

Hardware designs that can support multiple standards are required for versatile media players. The study proposes a unified inverse transform architecture that can be efficiently used in Moving Picture Expert Group and ITU International Telecommunication Standardisation Sector (ITU-T) H.264/advanced video coding (AVC), Microsoft video codec 1 (VC-1) and Chinese Audio Video Coding Standard (AVS) de... View full abstract»

• ### Improved kernel-based IRIS recognition system in the framework of support vector machine and hidden markov model

Publication Year: 2012, Page(s):661 - 667
Cited by:  Papers (2)
| | PDF (567 KB)

IRIS biometric is one of the most efficient and trusted biometric methods for authenticating users owing to invariance with age or with physical activities. IRIS recognition techniques are broadly categorised in three groups: phase, texture and kernel-based methods, which out of kernel-based methods are proven to be the best suited for IRIS recognition problem. In this work a multiclass kernel Fis... View full abstract»

• ### Image quality augmented intramodal palmprint authentication

Publication Year: 2012, Page(s):668 - 676
| | PDF (474 KB)

This study serves dual objectives. First, as an efficient, in terms of speed and accuracy, wavelet-based intramodal palmprint authentication approach. Second, quantification of illumination, quality of palmprints and its incorporation in the score fusion for the classification performance enhancement. The later objective is realised using localised contrast measurement and quality-augmented fusion... View full abstract»

• ### New adaptive steganographic method using least significant- bit substitution and pixel-value differencing

Publication Year: 2012, Page(s):677 - 686
Cited by:  Papers (4)
| | PDF (604 KB)

This study presents a new adaptive data-hiding method based on least-significant-bit (LSB) substitution and pixel-value differencing (PVD) for grey-scale images. The proposed method partition the cover image into some non-overlapping blocks having three consecutive pixels and select the second pixel of each block as the central pixel (called base-pixel). Then, k-bits of secret data are embe... View full abstract»

• ### Automated extraction of three-dimensional cereal plant structures from two-dimensional orthographic images

Publication Year: 2012, Page(s):687 - 696
| | PDF (470 KB)

The authors present a novel approach to automatically extract three-dimensional (3D) structures of cereal plants from 2D orthographic images. The idea of this approach is to use 2D skeletons to represent elongated shapes of plants in 2D images and then to generate 3D plant structures from 2D skeletons. However, existing skeletonisation algorithms generate artefacts because of boundary extremities ... View full abstract»

• ### Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image

Publication Year: 2012, Page(s):697 - 705
| | PDF (286 KB)

In this study, a computer-aided diagnosis system capable of selecting a significant slice for the analysis of each nodule from a set of slices of a computed tomography (CT) scan in digital imaging and communications in medicine (DICOM) format has been developed for the diagnosis of lung cancer. First, the CT image was preprocessed by segmenting the lung parenchyma from each slice using a greedy sn... View full abstract»

• ### Image restoration and decomposition using nonconvex non-smooth regularisation and negative Hilbert-Sobolev norm

Publication Year: 2012, Page(s):706 - 716
Cited by:  Papers (1)
| | PDF (771 KB)

A new model for image restoration and decomposition has been presented here. The proposed model applies the non-convex non-smooth regularisation and the Hilbert-Sobolev spaces of negative degree of differentiability to capture oscillatory patterns. The existence of a pseudosolution to the proposed model is proved. Moreover, two numerical algorithms for solving the minimisation problem are provided... View full abstract»

• ### Image thresholding framework based on two-dimensional digital fractional integration and Legendre moments'

Publication Year: 2012, Page(s):717 - 727
Cited by:  Papers (1)
| | PDF (1000 KB)

In this study, the authors present a new image segmentation algorithm based on two-dimensional digital fractional integration (2D-DFI) that was inspired from the properties of the fractional integration function. Although obtaining a good segmentation result corresponds to finding the optimal 2D-DFI order, the authors propose a new alternative based on Legendre moments. This framework, called two ... View full abstract»

• ### Performance of reversible digital image watermarking under error-prone data communication: a simulation-based study

Publication Year: 2012, Page(s):728 - 737
Cited by:  Papers (1)
| | PDF (1574 KB)

Reversible digital watermarking techniques enable the recovery of the original cover image from a watermarked image in a distortion-free way. Reversible watermarking techniques find application in military and medical imagery, where integrity of the cover image is of utmost importance. However, in practice, many military data transmissions occur over communication channels whose noise levels are... View full abstract»

• ### Performance evaluation methodology for document image dewarping techniques

Publication Year: 2012, Page(s):738 - 745
| | PDF (910 KB)

The performance evaluation of dewarping techniques is currently addressed by concentrating in visual pleasing impressions or by using optical character recognition (OCR) as a means for indirect evaluation. In this study, the authors present a performance evaluation methodology that calculates a comprehensive evaluation measure which reflects the entire performance of a dewarping technique in a con... View full abstract»

• ### Approximately even partition algorithm for coding the Hilbert curve of arbitrary-sized image

Publication Year: 2012, Page(s):746 - 755
Cited by:  Papers (3)
| | PDF (1050 KB)

The Hilbert curve is one of space filling curves and it requires that the region is of size 2k × 2k, where kN. This study relaxes this constraint and generates a pseudo-Hilbert curve of arbitrary dimension. The intuitive method such as Chung et al.'s algorithm is to use Hilbert curves in the decomposed areas directly and then have them con... View full abstract»

• ### Wavelet-based image denoising using three scales of dependency

Publication Year: 2012, Page(s):756 - 760
Cited by:  Papers (4)
| | PDF (280 KB)

The denoising of a natural image corrupted by the Gaussian white noise is a classical problem in image processing. A new image denoising method is proposed by using three scales of dual-tree complex wavelet coefficients. The dual-tree complex wavelet transform is well known for its approximate shift invariance and better directional selectivity, which are very important in image denoising. Experim... View full abstract»

• ### Fast and robust skew estimation in document images through bilinear filtering model

Publication Year: 2012, Page(s):761 - 769
Cited by:  Papers (1)
| | PDF (749 KB)

Skew estimation of scanned document is important for document analysis and recognition. Owing to the complexity inherent in the document, some methods only process the documents with a small skew angle or specified content, layout and have high computational cost. A fast and robust skew estimation method is proposed based on a bilinear filtering model, which is used to detect edges existing in the... View full abstract»

• ### Human body segmentation based on independent component analysis with reference at two-scale superpixel

Publication Year: 2012, Page(s):770 - 777
Cited by:  Papers (1)
| | PDF (676 KB)

In this study, a novel method to segment human body in static image is proposed based on independent component analysis with reference (ICA-R) at two-scale superpixel. In this work, the task is mainly decomposed into torso and lower body recovery. With the detected face, we obtain the reference signal of torso in the coarse torso region estimated by an augmented deformable torso model on the basis... View full abstract»

• ### Workspace for image clustering based on empirical mode decomposition

Publication Year: 2012, Page(s):778 - 785
Cited by:  Papers (1)
| | PDF (696 KB)

This study presents a new approach for image clustering, which is based on a novel workspace derived from the empirical mode decomposition (EMD). The proposed algorithm exploits the EMD, which can decompose any non-linear and non-stationary data into a number of intrinsic mode functions (IMFs). The intermediate IMFs of the image histogram have very good characteristics and provide a robust workspa... View full abstract»

• ### Blending-weight diffusion for image colourisation

Publication Year: 2012, Page(s):786 - 794
Cited by:  Papers (2)
| | PDF (829 KB)

An image colourisation method based on diffusion of colour-blending weights is presented. The authors propose to use reciprocal function for smoothness measurement to determine the priority order of colour propagation in image colourisation. The reciprocal measurement can improve the recent exponential-measurement-based propagation, which has a trend towards being greedy for smooth pixels, and is ... View full abstract»

• ### Robust kernel-based learning for image-related problems

Publication Year: 2012, Page(s):795 - 803
| | PDF (839 KB)

Robustness is one of the most critical issues in the appearance-based learning techniques. This study develops a novel robust kernel for kernel machines, and consequently improves their robustness in resisting noise for solving the image-related learning problems. By incorporating a robust ρ-function to reduce the influence of outlier components, this kernel gives more reasonable kernel val... View full abstract»

• ### Partitioning of feature space by iterative classification for degraded document image binarisation

Publication Year: 2012, Page(s):804 - 812
| | PDF (1116 KB)

Proper partitioning of feature space into text and background regions is very important in document image binarisation. This study presents an iterative classification algorithm that efficiently partitions a two-dimensional feature space into text and background regions. It uses the result of Niblack's binarisation algorithm as training data and employs its characteristics to define classification... View full abstract»

## Aims & Scope

The range of topics covered by IET Image Processing includes areas related to the generation, processing and communication of visual information.

Full Aims & Scope

## Meet Our Editors

Publisher
IET Research Journals
iet_ipr@theiet.org