The article provides arguments in favor of an alternative approach that uses splines, which is equally justifiable on a theoretical basis, and which offers many practical advantages. To reassure the reader who may be afraid to enter new territory, it is emphasized that one is not losing anything because the traditional theory is retained as a particular case (i.e., a spline of infinite degree). The basic computational tools are also familiar to a signal processing audience (filters and recursive algorithms), even though their use in the present context is less conventional. The article also brings out the connection with the multiresolution theory of the wavelet transform. This article attempts to fulfil three goals. The first is to provide a tutorial on splines that is geared to a signal processing audience. The second is to gather all their important properties and provide an overview of the mathematical and computational tools available; i.e., a road map for the practitioner with references to the appropriate literature. The third goal is to give a review of the primary applications of splines in signal and image processing.

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Splines: a perfect fit for signal and image processing

Computerized Image Registration approaches can offer automatic and accurate image alignments without extensive user involvement and provide tools for visualizing combined images. The aim of this survey is to present a review of publications related to Medical Image Registration. This paper paints a comprehensive picture of image registration methods and their applications. This paper is an introduction for those new to the ﬁeld, an overview for those working in the ﬁeld and a reference for those searching for literature on a speciﬁc application. Methods are classiﬁed according to the diﬀerent aspects of Medical Image Registration.

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Survey of Medical Image Registration

Systems and methods for implementing array cameras configured to perform super- resolution processing to generate higher resolution super-resolved images using a plurality of captured images and lens stack arrays that can be utilized in array cameras are disclosed. Lens stack arrays in accordance with many embodiments of the invention include lens elements formed on substrates separated by spacers, where the lens elements, substrates and spacers are configured to form a plurality of optical channels, at least one aperture located within each optical channel, at least one spectral filter located within each optical channel, where each spectral filter is configured to pass a specific spectral band of light, and light blocking materials located within the lens stack array to optically isolate the optical channels.

Capturing and processing of images using monolithic camera array with heterogeneous imagers

We present an algorithm for fast elastic multidimensional intensity-based image registration with a parametric model of the deformation. It is fully automatic in its default mode of operation. In the case of hard real-world problems, it is capable of accepting expert hints in the form of soft landmark constraints. Much fewer landmarks are needed and the results are far superior compared to pure landmark registration. Particular attention has been paid to the factors influencing the speed of this algorithm. The B-spline deformation model is shown to be computationally more efficient than other alternatives. The algorithm has been successfully used for several two-dimensional (2-D) and three-dimensional (3-D) registration tasks in the medical domain, involving MRI, SPECT, CT, and ultrasound image modalities. We also present experiments in a controlled environment, permitting an exact evaluation of the registration accuracy. Test deformations are generated automatically using a random hierarchical fractional wavelet-based generator.

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Fast parametric elastic image registration

[서평]「Digital Video Processing」

We consider applications using depth-based image-based rendering (IBR), where the synthesis of arbitrary views occur at a remote location, necessitating the compression and transmission of depth maps. Traditional image compression has been designed to provide maximum perceived visual quality, and a direct application is sub-optimal for depth-map compression, since depth-maps are not directly viewed. In other words, the sensitivity of the rendering error depends on the image content as well as on the depth map, we propose two improvements to take this into account. Firstly, we consider region-of-interest (ROI) coding, where we identify those regions of the image where accurate depth is most crucial. Secondly, we reshape the dynamic range of the depth map. Our experiments show a significant improvement in coding gain (1.1 dB) and rendering quality when we integrated these two improvements into a standard JPEG-2000 coder.

Compression and transmission of depth maps for image-based rendering

When two or more different video streams a e compressed for concurrent transmission of multiple compressed video bitstreams over a single shared communication channel, control over both (1) the transmission of data over the shared channel and (2) the compression processing that generates the bitstreams is exercised taking into account the differing levels of latency required for the corresponding video applications. For example, interactive video games typically require lower latency than other video applications such as video streaming, web browsing, and electronic mail. A multiplexer and traffic controller takes these differing latency requirements, along with bandwidth and image fidelity requirements, into account when controlling both traffic flow and compression processing. In addition, an off-line profiling tool analyzes typical video applications off-line in order to generate profiles of different types of video applications that are then accessed in real-time by a call admission manager responsible to controlling the admission of new video application sessions as well as the assignment of admitted applications to specific available video encoders, which themselves may differ in video compression processing power as well as in the degree to which they allow external processors (like the multiplexer and traffic controller) to control their internal compression processing.

Latency-based statistical multiplexing

Apparatus and method for classifying regions of an image, based on the relative “importance” of the various areas and to adaptively use the importance information to allocate processing resources and input image formation.

Method and apparatus for region-based allocation of processing resources and control of input image formation

A PC-type computer has a system bus (e.g., a PCI bus) configured with a main CPU board, a statistical multiplexing (stat-mux) board, and a plurality of video/audio encoder boards, each configured to receive and compress a corresponding video/audio stream. The stat-mux board performs statistical multiplexing on the different compressed bitstreams to transmit multiple bitstreams over individual shared communication channels. Although each of the boards is configured to the system bus, each encoder board has a digital signal processor (DSP) with a synchronized serial interface (SSI) output port that is directly connected to an SSI input port on a DSP on the stat-mux board (which, in one embodiment, has four such DSPs each with six such SSI input ports). As such, (up to 24) compressed video/audio bitstreams generated on the various encoder boards can be transmitted directly to the stat-mux board without having to go through the system bus. In this way, the computer system can provide statistical multiplexing of low-latency video/audio bitstreams without having to suffer the processing delays associated with conventional transmission over PCI system buses.

Computer system for statistical multiplexing of bitstreams

Apparatus and method for classifying regions of an image, based on the relative 'importance' of the various areas and to adaptively use the importance information to allocate processing resources, e.g., bit allocation in an encoding environment.

Ravi Krishnamurthy

Papers

Compression and transmission of depth maps for image-based rendering

Latency-based statistical multiplexing

Method and apparatus for region-based allocation of processing resources and control of input image formation

Computer system for statistical multiplexing of bitstreams

Method and apparatus for block classification and adaptive bit allocation