White balance is an algorithm proposed to mimic the color constancy mechanism of human perception. However, as shown by its name, current white balance algorithms only promise to correct the color shift of gray tones ...
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ISBN:
(纸本)9780819494283
White balance is an algorithm proposed to mimic the color constancy mechanism of human perception. However, as shown by its name, current white balance algorithms only promise to correct the color shift of gray tones to correct positions;for other color values, white balance algorithms process them as gray tones and therefore produce undesired color biases. To improve the color prediction of white balance algorithms, in this paper, we propose a 3-parameter non-diagonal model, named as PCA-CLSE, for white balance. Unlike many previous researches which use the von Kries diagonal model for color prediction, we proposed applying a non-diagonal model for color correction which aimed to minimize the color biases while keeping the balance of white color. In our method, to reduce the color biases, we proposed a PCA-based training method to gain extra information for analysis and built a mapping model between illumination and non-diagonal transformation matrices. While a color-biased image is given, we could estimate the illumination and dynamically determine the illumination-dependent transformation matrix to correct the color-biased image. Our evaluation shows that the proposed PCA-CLSE model can efficiently reduce the color biases.
Noise variance estimation is required in many image denoising, compression, and segmentation applications. In this work, we propose a fast noise variance estimation algorithm based on principal component analysis of i...
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ISBN:
(纸本)9780819494283
Noise variance estimation is required in many image denoising, compression, and segmentation applications. In this work, we propose a fast noise variance estimation algorithm based on principal component analysis of image blocks. First, we rearrange image blocks into vectors and compute the covariance matrix of these vectors. Then, we use Bartlett's test in order to select the covariance matrix eigenvalues, which correspond only to noise. This allows estimating the noise variance as the average of these eigenvalues. Since the maximum possible number of eigenvalues corresponding to noise is utilized, it is enough to process only a small number of image blocks, which allows reduction of the execution time. The blocks to process are selected from image regions with the smallest variance. During our experiments involving seven state of the art methods, the proposed approach was significantly faster than the methods with similar or higher accuracy. Meanwhile, the relative error of our estimator was always less than 15%. We also show that the proposed method can process images without homogeneous areas.
Electronic cameras and projectors are improving at a rapid pace, Computational elements are increasing in power to the point where substantial processing cart be applied to the image stream, and compression algorithms...
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Electronic cameras and projectors are improving at a rapid pace, Computational elements are increasing in power to the point where substantial processing cart be applied to the image stream, and compression algorithms have improved to the level M,here very high quality can be maintained at high compression ratios. The combination of high resolution and high frame rate can bring unprecedented image clarity to an electronic imaging system. With high-quality compression as a central system element, image capture and presentation systems can realize their full technological potential, While it is evident that uncompressed digital video at standard definition is widely available for many video system elements, it is now becoming apparent that imaging systems are poised to jump orders of magnitude in quality beyond this. HDTV implementations of the last decade now look like a small step in comparison to the leap in quality that is anticipated.
In spaceborne SAR imageprocessing, focusing algorithms are applied with a uniform altitude throughout the observation area. The uniform altitude assumption shows good performance in most spaceborne SAR systems. Howev...
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Otsu method and ant colony algorithm are all traditional algorithms. The two algorithms can complement each other. The combination of two algorithms will improve image segmentation and speed up segmentation's spee...
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We developed a novel method named MemBrain-TMB to predict the spanning segments of transmembrane Â-barrel from amino acid sequence. MemBrain-beta is a statistical machine learningbased model, which is constructed...
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Research and industry increasingly rely on imageprocessing to analyze an environment. Most imageprocessing requires significant computing power and consequently a complex processing unit. This paper presents a hardw...
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ISBN:
(纸本)9781479947744
Research and industry increasingly rely on imageprocessing to analyze an environment. Most imageprocessing requires significant computing power and consequently a complex processing unit. This paper presents a hardware specific platform that computes common imageprocessingalgorithms and extracts the information from a video stream. By this arrangement, the imageprocessing can be customized for a specific application, using the same embedded system. This platform also simplifies the development of imageprocessingsystems and algorithms by focusing on higher level algorithmic operations.
imageprocessing could be done in CPU or in Graphical processing Unit (GPU), using sequential programming or parallel programming respectively. Sequential and parallel programming are good in their own paradigm. This ...
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ISBN:
(纸本)9781509047154
imageprocessing could be done in CPU or in Graphical processing Unit (GPU), using sequential programming or parallel programming respectively. Sequential and parallel programming are good in their own paradigm. This paper analyses the performances of various basic imageprocessingalgorithms on GPU as well as CPU. Various images with a range of dimensions have been used for the testing purpose. The results show that the usability of the GPU for imageprocessing problems is highly depends on the nature of the problem and also on the size of the problem domain.
Hilditch thinning algorithm is widely used in image pre-processing process. In this paper, we propose an improved Hilditch algorithm to acquire a more stable output. We conclude that the skeletons obtained from our al...
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ISBN:
(纸本)9780769539072
Hilditch thinning algorithm is widely used in image pre-processing process. In this paper, we propose an improved Hilditch algorithm to acquire a more stable output. We conclude that the skeletons obtained from our algorithms give better results in Chinese characters and numbers. The advantage of this algorithm corrects the beard by modifying the warp in the part of intersection.
The statistic information of connected components are fundamental for imageprocessing, which could be acquired through connected components labeling. This paper proposes a hardware-efficient method for extracting sta...
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The statistic information of connected components are fundamental for imageprocessing, which could be acquired through connected components labeling. This paper proposes a hardware-efficient method for extracting statistic information of connected components in a binary image to accelerate imageprocessing in embedded application. The proposed method scans two adjacent rows with 2 x 2 template simultaneously, meanwhile, statistic information of runs are recorded. After scanning two rows, the equivalent runs are merged, and then statistic information of completed connected region is exported directly. This method scans an image only once, which could reduce off-chip memory access massively. For a determined image resolution, the requirement of on-chip memory resource is also confirmed and not affected by the number of connected components. This algorithm is modeled with Verilog, and the simulation result shows that average processing speed could be real-time for various images with different resolution. Furthermore, the memory cost is little compared to other hardware based algorithms for labeling connected components, and the proposed method is appropriated for hardware implementation.
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