Performance tuning of imaging applications through pattern-based code transformation

Sangwan, Raghvinder S.; Ludwig, Robert; Laplante, Phillip A.; Neill, Colin J.

doi:10.1117/12.583554

Cited by 4 publications

(4 citation statements)

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“…In [127], it was shown that this was not the case. A study was performed which showed which applying object-oriented design patterns could produce well-designed and efficient image processing systems with easy extensibility, maintainability, and reuse without sacrificing real-time performance.…”

Section: Object-oriented Design Patternsmentioning

confidence: 88%

“…Considering that real-time image/video processing systems usually consist of thousands of lines of code, proper design principles should be practiced from the start in order to ensure maintainability, extensibility, and flexibility in response to changes in the hardware or the algorithm [127]. Without a proper underlying structure, the entire system ends up becoming an unmanageable collection of source codes.…”

Section: Software Architecture Designmentioning

confidence: 99%

“…One research group has primarily been involved in promoting the use of object-oriented design patterns for such systems as discussed in the references [90,104,127,128].…”

Section: Object-oriented Design Patternsmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Image and Video Processing: From Research to Reality

Kehtarnavaz¹,

Gamadia²

2006

Synthesis Lectures on Image, Video, and Multimedia Processing

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This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ for designing a real-time image or video processing system of interest. KEYWORDSReal-time image and video processing, Real-time implementation strategies, Algorithmic simplifications for real-time image and video processing, Hardware platforms for real-time image and video processing, Software methods for real-time image and video processing v

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Section: Object-oriented Design Patternsmentioning

confidence: 88%

Section: Software Architecture Designmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Image and Video Processing: From Research to Reality

Kehtarnavaz¹,

Gamadia²

2006

Synthesis Lectures on Image, Video, and Multimedia Processing

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“…Kessler et al proposed a system that can automatically parallelize the code for distributed memory systems using the pattern-recognition tool [25]. Sangwan et al proposed a method for performance tuning in the real-time imaging system through pattern-based code transformation [26].…”

Section: Pattern-based Code Transformationmentioning

confidence: 99%

Redundancy Analysis and Elimination on Access Patterns of the Windows Applications Based on I/O Log Data

Lee

Kwon

2020

IEEE Access

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In this paper, we analyze I/O log data monitored in the Windows operating system for improving the system performance. Especially, we focus on the I/O operations to the Windows registry. As a result, we identify redundant access patterns of the Windows applications. To find all the possible redundant patterns from the large-scale log data, we propose the redundancy detection algorithm. Then, we propose the two-level redundancy elimination method to remove unnecessary redundant operations. We also present an event-driven method that guarantees that the result of redundancy elimination is equivalent to that of the original program. Through experiments, we show that the proposed redundancy elimination method improves the performance of the original program having redundant access patterns by up to 90.25% for individual access patterns; by 8.93% ∼ 26.21% when the multiple programs having combined access patterns are running concurrently. INDEX TERMS I/O log data, access pattern analysis, redundancy elimination, Windows registry.

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Real-Time Primary Image Processing

Dobrescu

Popescu

Image Processing

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Image processing operations have been classified into three main levels, namely low (primary), intermediate, and high. In order to combine speed and flexibility, an optimum hardware/software configuration is required. For multitask primary processing, a pipeline configuration is proposed. This structure, which is an interface between the sensing element (camera) and the main processing system, achieves real time video signal preprocessing, during the image acquisition time. In order to form the working neighborhoods, the input image signal is delayed (two lines and three pixels). Thus, locally 3×3 type processing modules are created. A successive comparison median filter and a logical filter for edge detection are implemented for a pipeline configuration. On the other hand, for low level, intermediate, and high level operations, software algorithms on parallel platforms are proposed. Finally, a case study of lines detection using directional filter discusses the performance dependency on number of processors.

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Performance tuning of imaging applications through pattern-based code transformation

Cited by 4 publications

References 0 publications

Real-Time Image and Video Processing: From Research to Reality

Real-Time Image and Video Processing: From Research to Reality

Redundancy Analysis and Elimination on Access Patterns of the Windows Applications Based on I/O Log Data

Real-Time Primary Image Processing

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