We propose the application of two-dimensional distortion models for comparisons of medical images in a distance-based classifier. We extend a simple zero-order distortion model by using local context within the compared image parts. Vertical and horizontal image gradients as well as small sub images are used as local context. Taking into account dependencies within the displacement field of the...

The main purpose of this study is to develop a piece of software for the construction of spherical immersive displays. In the process of designing spherical displays, it is necessary to consider about optical design before their construction. A dome-shaped screen usually produces some distortion on the projected image. The pre-distortion method is generally used to compensate that distortion. O...

Measurement of visual quality is of fundamental importance for numerous stereoscopic image and video processing applications. The effect of distortions on the perceived stereoscopic images quality already been investigated. But few works focus on the weight preference between distortion types. This paper firstly analyzed the weight preference of stereoscopic images between distortion types. The...

In this paper, we propose a new method to compensate for lens distortions in image stitching. Lens distortions that arise from the nonlinearity of a lens are the main cause for mismatches in stitching images. We estimate the distortion factors for each image using the Division Model and linearize the projected relationships between matching distorted feature points. Because our method works at ...

This paper is motivated by the following problem. Consider an image we want to compress. The appropriate distortion measure with respect to which we compress the image is specified by the human visual system. This distortion measure can only be experimentally determined and our knowledge about it will hence be only partial. This leads us to consider the general problem of lossy source coding wi...

This paper studies the distortion and the model-based bit allocation scheme of wavelet lifting-based multiview image coding. Redundancies among image views are removed by disparity-compensated wavelet lifting (DCWL). The distortion prediction of the low-pass and high-pass subbands of each image view from the DCWL process is analyzed. The derived distortion is used with different rate distortion...

The role played b y the distortion measure in a vector quant izat ion image encoder is very imporsuch distortion function as long as d ( X , C ) and the centroid of a set of vectors using this distortion function exists. tant. In the following paper we suggest a general class of distor t ion function, the input-dependent weighted square e r r o r distortion, which is computationally simple and ...

The effectiveness of medical image processing depends on input image. But these images are captured from complex sources because of which there are chances of feature distortion over the image. Because of this, there is requirement of some such mechanism that can improve the medical image feature in case of partial distortion. In this paper, a study based work is defined to refine the images us...

Detecting the accurate location of a license plate from a vehicle image is considered to be the most important stage of vehicle license plate recognition (VLPR) system, which greatly influences the overall recognition accuracy and processing speed of the whole system. In this paper, we propose a system to locate the multiple vehicle license plates of moving vehicles from a video traffic image s...