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Morphological filters are often implemented using a series decomposition. This paper presents a parallel decomposition that is able to exploit separability. By maximising the reuse of hardware between the parallel filters, a novel computationally efficient filter structure may be derived. Results show that such filters may be implemented on a Virtex-5 FPGA with pixel clock rates approaching 1 GHz.
Depending on the content of a video sequence and the settings used for encoding it, the amount of bits spent for the transmission of motion vector information can be enormous and in some cases even take the largest fraction of the bit rate. This is not always necessary since often wide areas, i.e. background or large foreground regions, fit the same global motion. Additionally, a global motion model...
3D scene information can be represented in several ways. In applications based on a (N-)view plus (N-)depth representation, both view and depth data is compressed. In this paper we present a depth compression method containing an depth up-sample filter which uses the color view as prior. Our method of depth down-/up-sampling is able to maintain clear object boundaries in the reconstructed depth maps...
Depth maps estimated using stereo matching between frames from different video views typically exhibit false contours and noisy artifacts around object boundaries. In this paper, iterative joint multilateral filtering is proposed to deal with these artifacts. The proposed filter consists of multiple filter kernels. Knowing that the estimated depth maps are erroneous, besides the kernels which measure...
This paper aims to obtain an integrated and consecutive original image from noisy image by applying image denoising method. Proposed method employs an “impulse noise detector” to detect the noisy pixels, and an “edge-preserving filter” to reconstruct the intensity values of noisy pixels. Extensive experimental results demonstrate that proposed method can obtain better performances in terms of Peak-to-Signal-Noise-Ratio(PSNR)...
The computation of stereoscopic depth is an important field of computer vision. Although a large variety of algorithms has been developed, the traditional correlation-based versions of these algorithms are prevalent. This is mainly due to easy implementation and handling but also to the linear computational complexity, as compared to more elaborated algorithms based on diffusion processes, graph-cut...
Clinical research suggests that changes in the retinal blood vessels (e.g., vessel caliber) are important indicators for earlier diagnosis of diabetes and cardiovascular diseases. Reliable vessel detection or segmentation is a prerequisite for quantifiable retinal blood vessel analysis for predicting these diseases. However, the segmentation of blood vessels is complicated by its huge variations such...
Most digital cameras use a single image sensor to capture colour images. As a result, only one colour at each pixel location is acquired. Demosaicking is a technique to estimate all the other missing colour pixel information in order to produce a full colour image, while inverse demosaicking refers to the recovery of the single image sensor values from the full colour image. Early digital cameras...
An efficient Fourier-domain implementation of the velocity filter is presented. The Sliding Discrete Fourier Transform (SDFT) is exploited to yield a Track-Before-Detect (TBD) algorithm with a complexity that is independent of the filter integration time. As a consequence, dim targets near the noise floor of acquisition or surveillance sensors may be detected, and their states estimated, at a relatively...
Information of the urban road areas for resource management, security monitoring, urban development and Geographic Information System (GIS) is changing with the growing world. Satellite image provides useful data that is extracted from satellite image of the urban area. Automatic extraction of the road intersections from the urban areas has been a challenging topic because the high resolution satellite...
In this paper, new area minimized architecture is proposed for median filters based on modified decomposition algorithm. The modified decomposition replaces the complexity of existing threshold decomposition algorithm such as complex comparators. The proposed algorithm works in two stages, decomposition and recombination. The proposed algorithm removes the need for 0 to 255 threshold gray levels for...
This paper describes an efficient hardware architecture for the deblocking filter used in H.264/AVC baseline profile video coding standard and optimized for real time implementation. Thus, the deblocking filter is a computationally and data intensive tool resulting in an increased execution time of both encoding and decoding processes. In fact, the processing order of the filter and the memory organization...
3D scene rendering requires depth maps and color information to produce high quality 3D results. Unfortunately, depth maps captured with the Time-of-flight (TOF) cameras have limited resolution and poor image quality, being severely influenced by the random and systematic noise, which makes them inapposite for generating high quality 3D images. In this paper, we have further analyzed a framework for...
This paper presents a new method to measure retinal blood vessel with sub-pixel accuracy. The method is based on a modified Canny edge detection method with a bilateral filter. There are three stages of the method. First, the bilateral filter is used to remove the vessel background noises, and then the Canny detector is used to detect all vessel edges. Second, vessel sample profiles crossed vessel...
Modular based partially and dynamically reconfigurable (PDR) FPGA system is an ideal solution for run-time image processing system which needs to change the function of the processing unit dynamically. Here we present a new PDR image filter based on our self-developed FDP FPGA Device. In this system, the transition bus (TB) structure is proposed for physical separation of the static/dynamic blocks...
By the preprocessing method of the integration with the median filter and the linear transform of gray value, and the evaluation function based on power spectrum, an auto-focusing model is built. From the character of the image focusing algorithm based on power spectrum, the paper has designed the structural frame and algorithm flow of the image processing module, and proposed the pipelining structure,...
This paper looks at painterly rending using filter blending to create a novel range of artistic effects. We look into several techniques in the field of painterly rendering and combine these different rendering styles together in a user defined way to create a new filter. This creates a user defined painting style based on aspects of different painting styles and processes. The final application uses...
This paper proposes a new way to detect whether the current pixel is contaminated, which is based on the homogeneity level of the local region around that pixel. Then, we combine this idea with the Adaptive impulse detection using center-weighted median (ACWM) filter and Directional weighted median (DWM) filter to get the new efficient filter: Region Filter (RF). Extensive experiments show that with...
Following the rapid advances in digital technologies, more and more consumer electronic devices, such as cell phones and PDAs, are equipped with built-in camera modules. In order to be cost-effective, optoelectronics components used in such devices are usually not sophisticated enough to support professional photographing. Pictures taken by such devices tend to be of unsatisfiable quality under poor...
We propose a novel human detection system with thermal and visible image sensors using a new joint bilateral filter. There is a limitation to the performance of devices which attempt to detect humans by using only one sensor. Therefore, we use two sensors: an infrared sensor and a color image sensor. To fuse the best features of both types of sensor in order to achieve superior performance in human...
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