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How expensive image and video processing is in terms of processing in the CPU? 

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We compare the obtained performance results with a recent multi-core CPU and show that both platforms are able to accelerate processing.
In this work, we propose a development scheme enabling an efficient exploitation of parallel (GPU) and heterogeneous (Multi-CPU/Multi-GPU) platforms, in order to improve performance of both image and video processing algorithms.
Although not specifically designed for image processing, the architecture is well suited for the repetitive computations and high data transfer rates that characterize most low-level image processing problems.
One of the ways to cope with the demands of video processing in real-time, we believe, is parallel processing.
Specialized FPGA implementations can deliver higher performance and greater power efficiency than embedded CPU or GPU implementations for real-time image processing.
Alternatively, the typical approach of processing an image on a CPU device at a frame level increases the processing latency of the computer-vision system.
Previous research has shown that using a GPU for local image processing operations can be much faster than using a CPU.
The model suggests conducting image-processing tasks on stream processors in order to reduce the load on CPU.
Such levels of performance make the processing capacities of current image processing technology look positively feeble.
Thus, it moderately increases the computational burden if it is used as a pre-processing stage for other image processing algorithms.
Compared to conventional general-purpose image processing systems, our hardware system is compact and inexpensive.
Proceedings ArticleDOI
09 Oct 1994
40 Citations
The implementation of two "standard" image processing routines on the theoretical processor, skeletonization of a binary image and shading correction in a greyvalue image, while making the design decisions in line with the solutions commonly found in the four characteristic architectures, showed that linear processor arrays when properly designed, seem to offer the best speed/efficiency combination even for processing images at video speed.
In addition, while the Graphic Processing Unit (GPU) is considered the most powerful processor nowadays, our experimental results further indicated that the joint use of the multi-core CPU and GPU could enhance the processing power as well as improve the computational efficiency.
The optimization makes the processor feasible to be used for applications like embedded video processing.
Journal ArticleDOI
01 Oct 1988-Signal Processing
22 Citations
They differ in certain implementational aspects, but demonstrate clearly the possibilities of image processing with PCs.
Proceedings ArticleDOI
25 May 2003
16 Citations
Compared with vision-based models, it is easier to calculate and applicable to both image and video processing applications.

Related Questions

What is Image processing ?5 answersImage processing involves altering or analyzing digital images to enhance their content for human interpretation or machine perception. It encompasses tasks like segmentation, morphological operations, noise reduction, and labeling. Image processing systems can correct model patterns using machine learning techniques, reflecting learning outcomes in newly input shape information. This computational process transforms input images into output images, often enhancing them for better contrast or feature extraction, crucial in robotics. Additionally, image processing systems can generate display images showcasing differences in setting values and their impact on image processing results, aiding users in discerning variations at a glance. Overall, image processing is a diverse field that combines mathematical methods with technological advancements to manipulate and extract valuable information from images.
What is expensive in marketing?5 answersExpensive in marketing refers to products or services that have a higher price point. When it comes to expensive products, customers tend to demand more information and different types of information compared to inexpensive products. The perception of cost is influenced by the look and feel of a brand's website design. However, price and value are not necessarily related, and choosing the best option among competing systems requires considering other factors beyond price. In the healthcare sector, marketing and branding are often overlooked, but improving marketing efforts can help professionals face competition and other challenges. The price and quality of products are crucial in determining consumer decisions and satisfaction, with price having a positive effect on purchasing decisions and consumer satisfaction, while product quality has a negative effect on both.
What are the factors affecting the speed of the processor?2 answersThe speed of a processor can be affected by several factors. One factor is the occurrence frequency of idle signals sent from a program executed on the processor, which determines the current utility ratio of the processor. Another factor is the compatibility between stimuli and responses, known as stimulus-response compatibility (SRC), which can influence the speed and accuracy of response selection. Additionally, the temperature of the processor can also impact its speed. If the operating temperature exceeds a certain threshold, the speed of the processor can be decreased to prevent overheating. On the other hand, if the temperature is below the threshold, the speed of the processor can be increased. These factors highlight the importance of considering both internal and external factors when analyzing the speed of a processor.
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