A medical database has been deveiuped in the Pediatric Clinic of the University Hospital of Alexandroupolis in order to organize and manipulate all clinical information in digital form. A compression technique that tr...
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The display is a key element in the softcopy image chain. If the display is not optimized, information is lost. Studies seeking to assess the effects of bandwidth compression and image enhancement will reach false con...
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ISBN:
(纸本)0819444863
The display is a key element in the softcopy image chain. If the display is not optimized, information is lost. Studies seeking to assess the effects of bandwidth compression and image enhancement will reach false conclusions unless the display system is optimized. Although standards exist for the display of text and symbology, no such standards exist for continuous tone imagery. To help remedy this situation, a series of studies were conducted to help define guidelines for the effective display of continuous tone imagery, with emphasis on surveillance and reconnaissance imagery. imagery of various types (visible, IR, multispectral, SAR) was displayed on cathode ray tube (CRT) and active matrix liquid crystal displays (AMLCD) that varied in luminance and spatial resolution performance. Over a series of eight studies, trained imagery analysts provided National imagery Interpretability Ratings (NIIRS) and Briggs target ratings (a measure of minimum discriminable target size as a function of contrast) to assess the impact of display variations. From these studies, recommendations were derived for display pixel density, contrast modulation, and luminance measures including dynamic range, ambient light level, color temperature, and perceptual linearization. This paper defines the display performance measures used, performance measurement procedures, and presents guidelines for display optimization. Results of studies supporting the guidelines are summarized. Use of the guidelines is recommended in any study involving softcopy display of continuous tone imagery.
The ability to autonomously enhance low-quality or corrupted streaming video data is essential in a number of important civilian and defense scenarios. Applications include visual surveillance, motion picture restorat...
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The ability to autonomously enhance low-quality or corrupted streaming video data is essential in a number of important civilian and defense scenarios. Applications include visual surveillance, motion picture restoration, and remote control of Unmanned Aerial Vehicles. We have developed a prototype of RAVE: Real-time Autonomous Video Enhancement system. It consists of a suite of video artifact detection algorithms and corresponding correction algorithms. The system is autonomously controlled by an intelligent software agent. Our prototype has been successfully validated on several video sequences from different application domains and is being matured into a fully-functional, real-time embedded system.
This paper first presents a summary of a psychophysical experiment in which observers made judgements about the types of differences they perceived between originals and reproductions in a cross-media colour image rep...
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This paper first presents a summary of a psychophysical experiment in which observers made judgements about the types of differences they perceived between originals and reproductions in a cross-media colour image reproduction. The results of the observer-reported visual data from that experiment are then compared with analogous metrics extracted from colorimetric data of the corresponding originals and reproductions. While there is a good agreement in terms of the most general findings, looking at more detailed results shows significant differences between visual and colorimetrically-based data. The paper then proceeds to describe a colorimetrically based metric that takes into account some aspects of the visual system and using information both about the statistics of colour differences, of the original images and of changes to spatial characteristics is able to give a close prediction of observer responses. The final metric is proposed for further testing as a means of predicting observer responses of image difference in colour reproduction as well as in other applications.
We introduce a new approach for blind image watermarking: We derive robust semi-global features in wavelet domain and quantize them in order to embed the watermark. Quantization of statistics is carried out by adding ...
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We introduce a new approach for blind image watermarking: We derive robust semi-global features in wavelet domain and quantize them in order to embed the watermark. Quantization of statistics is carried out by adding scaled pseudo-random sequences that are visually unnoticeable. Our algorithm exhibits increased robustness against various attacks and it withstands standard benchmark attacks of wider range than earlier methods (e.g., Stirmark, random bending etc.) and modifications such as compression, provided they do not cause too severe visual distortions.
This paper presents a steganography method based on a lossy wavelet compression scheme and bit-plane complexity segmentation (BPCS) steganography. This method utilizes the embedded zerotree wavelet (EZW) compression s...
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This paper presents a steganography method based on a lossy wavelet compression scheme and bit-plane complexity segmentation (BPCS) steganography. This method utilizes the embedded zerotree wavelet (EZW) compression scheme, where wavelet coefficients of an image are quantized into a bit-plane structure. The proposed steganography enables us to use lossy compressed images as dummy files in bit-plane-based steganographic algorithms. Large embedding rates of around 25% of the compressed image size were achieved with little noticeable degradation in image quality. The proposed method can be applied to other wavelet-based lossy compression schemes like SPIHT and JPEG2000, because in these compression schemes the wavelet coefficients are also quantized into a bit-plane structure.
With the rapid development of the Internet, more and more attention is focused on IP video streaming. We introduce an RD optimal macro-block mode decision scheme for the new H.26L video stream. Based on the statistica...
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To what extent do we have shared or unique visual experiences? This paper examines how the answer to this question is constrained by known processes of visual adaptation. Adaptation constantly recalibrates visual sens...
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ISBN:
(纸本)0819444022
To what extent do we have shared or unique visual experiences? This paper examines how the answer to this question is constrained by known processes of visual adaptation. Adaptation constantly recalibrates visual sensitivity so that our vision is matched to the stimuli that we are currently exposed to. These processes normalize perception not only to low-level features in the image, but to high-level, biologically relevant properties of the visual world. They can therefore strongly impact many natural perceptual judgments. To the extent that observers are exposed to and thus adapted by a different environment, their vision will be normalized in different ways and their subjective visual experience will differ. These differences are illustrated by considering how adaptation can influence human face perception. To the extent that observers are exposed and adapted to common properties in the environment, their vision will be adjusted toward common states, and in this respect they will have a common visual experience. This is illustrated by reviewing the effects of adaptation on the perception of image blur. In either case, it is the similarities or differences in the stimuli and not the intrinsic similarities or differences in the observers - which determine the relative states of adaptation. Thus at least some aspects of our private internal experience are controlled by external factors that are accessible to objective measurement.
In real-time multicast communication scalability, reliability, feedback implosion, and packet loss recovery are of paramount importance. In this work we have developed an efficient feedback-free, entirely receiver-dri...
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ISBN:
(纸本)0780374029
In real-time multicast communication scalability, reliability, feedback implosion, and packet loss recovery are of paramount importance. In this work we have developed an efficient feedback-free, entirely receiver-driven, and reliable visual information delivery hybrid scheme (SIGMA-EC) for multicast applications over unreliable communication networks, that requires no per-receiver status at the sender. Our scheme's encoding and decoding processing time is an order of magnitude faster than conventional FEC-based loss recovery schemes. Among other attractive features, the reconstructed image quality gets progressively better. Furthermore, we obtain all these advantages using a remarkably simple structure, both conceptually as well as computationally.
Enhanced false color images from mid-IR, near-IR (NIR), and visible bands of the Landsat thematic mapper (TM) are commonly used for visually interpreting land cover type. Described here is a technique for sharpening o...
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ISBN:
(纸本)0819444863
Enhanced false color images from mid-IR, near-IR (NIR), and visible bands of the Landsat thematic mapper (TM) are commonly used for visually interpreting land cover type. Described here is a technique for sharpening or fusion of NIR with higher resolution panchromatic (Pan) that uses a shift-invariant implementation of the discrete wavelet transform (SIDWT) and a reported pixel-based selection rule to combine transform coefficients. There can be contrast reversals (e.g., at soil-vegetation boundaries between NIR and visible band images) and consequently degraded sharpening and edge artifacts. To improve performance for these conditions, I used a local area-based correlation technique originally reported for comparing image-pyramid-derived edges for the adaptive processing of wavelet-derived edge data. Also, using the redundant data of the SIDWT improves edge data generation. There is additional improvement because sharpened subband imagery is used with the edge-correlation process. A reported technique for sharpening three-band spectral imagery used forward and inverse intensity, hue, and saturation transforms and wavelet-based sharpening of intensity. This technique had limitations with opposite contrast data, and in this study sharpening was applied to singleband multispectral-Pan image pairs. Sharpening used simulated 30-m NIR imagery produced by degrading the spatial resolution of a higher resolution reference. Performance, evaluated by comparison between sharpened and reference image, was improved when sharpened subband data were used with the edge correlation.
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