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In this paper, a new technique for the enhancement of color image using multiscale retinex with modified color restoration has been proposed. The basic steps of multiscale retinex algorithm have been analyzed, modified and various operations are performed in an orderly manner. The enhancement effects are visually effective. In addition, it adds true color constancy to an image. The experimental results...
A novel hybrid and repetitive smoothing-sharpening (HRSST) technique is proposed and its impact is assessed to beneficially enhance sonogram and mammogram images. The technique aims to gain and combine the advantages of both the sharpening process that aims to highlight sudden changes in the image intensity, with the advantages of iterative image smoothing, which is usually applied to remove random...
We propose a novel Histogram Equalization (HE) to improve contrast of images. As most existing HE methods still suffer from over-enhancement caused by a quantum jump, the proposed method focuses on robustness to deal with the problem in various image conditions. To achieve the goal, we adjust the curve shape of the output mapping function by properly combining the curve shape of the null mapping function...
Mathematical morphology is widely used in the area of signal and image analysis. It has enormous applications in detection of weak targets, object recognition and feature extraction, edge detection, image enhancement and many more. However, its use has long been hampered by its algorithmic complexity as the size of the structuring element or image grows. With the trend toward larger images and proportionally...
This paper proposes a high dynamic range rendering method which consists of local luminance correction and global luminance correction. The proposed method estimates the change in the global luminance caused by the local luminance correction in advance, and sets an approximate gamma value for each pixel. The local luminance correction and the global luminance correction are combined to reduce the...
As the use of 3D multimedia contents has been popularized recently, next generation mobile devices are also expected to support the 3D contents. For displaying images on small-sized display panels of mobile devices, content-aware image retargeting has attracted a lot of interest due to its small quality loss of important contents in the images. In this paper, we present a novel content-aware 3D image...
In decoded digital video, the local compression artifact level depends on the global compression ratio and the local video content. We describe an algorithm to create estimators of the local ringing and blocking artifact levels from the decoded video signal. Our estimators enable high quality video enhancement in consumer TV.
Ocular biometrics has made significant progress over the past decade primarily due to advances in iris recognition. Initial research in the field of iris recognition focused on the acquisition and processing of frontal irides which may require considerable subject cooperation. However, when the iris is off-angle with respect to the acquisition device, the sclera (the white part of the eye) is exposed...
This paper presents a dynamic backlight dimming algorithm that uses multiple histograms. The proposed method greatly reduces gray-level error for some pixels whose gray levels are beyond the compensation limit, thereby enhancing the image quality.
This paper presents a new method for accurate skin detection. Skin detection techniques are used in various image and video processing applications, such as image categorization, face detection and tracking and, more recently, in selective image enhancement for digital TV products. The proposed method achieves high accuracy using a combination of color information and pseudo-morphological processing,...
Influenced by the widespread adoption of HDTV consumer imaging devices have begun to feature full HD (high density) video capture. With this high-resolution capability, small imperfections in human faces are captured with full HD video. When used for portrait imaging, the resulting video is frequently unsatisfactory to the user. Manufacturers of imaging devices require practical, real-time solutions...
Non-threaded bolts are the important semi-manufactures during manufacturing hexagon-head bolts. This paper proposes a vision measurement method to measure the diameter of non-threaded bolt. On the basis of briefly introducing manufacture process, the importance of measuring non-threaded bolts is pointed out. The principle of circle detection based on hough transform is analyzed. Image acquisition...
This paper presents a new face detection approach which is capable of detecting human faces from complex backgrounds. A new skin color modeling process is applied to the face segmentation process. Image enhancement is then used to improve the features of face candidates before feeding to the face object classifier which is based on a modified Hausdorff distance. The overall performance of the face...
Image fusion is an important visualization technique of integrating coherent spatial and temporal information into a compact form. Laplacian fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a mask pyramid to better localize the selection process...
During the image acquisition and communication the image is corrupted by noise. This is a classical problem in the field of signal or image processing. In this paper local statistical function is used to find the percentage of noise affected in the noise image. Dynamic denoising algorithm is used simultaneously as a tool for enhancing and tracking image pixel. The pixels are chosen based on the prediction...
Unimodal biometric systems often face significant limitations due to sensitivity to noise intraclass variability and other factors. Multimodal biometric systems seek to alleviate some of these problems by providing multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its multiple processing stages. To overcome these limitations...
As medical images are mostly fuzzy in nature, segmenting regions based intensity is the most challenging task. Segmentation of medical images using seeded region growing technique is increasingly becoming a popular method because of its ability to involve high-level knowledge of anatomical structures in seed selection process. In this paper, we have made improvements in region growing image segmentation...
We propose a new model to stylize lighting effects in 2D images. Our stylizations are based on well-known artistic styles ranging from Chiaroscuro to comics. Lighting has always been used in graphical art to give realism to an illustration or to enhance visual contrasts between objects in a scene. This allows creating a global atmosphere. Giving an input image, our model automatically generates a...
In this paper, a novel adaptive edge enhancement algorithm is proposed. A noise reduction algorithm operated in 5×5 block on Y channel is also presented. With the parallel and pipelined structure, the processing time for a single pixel and an image is reduced efficiently. The hardware demo is designed and verified with Xilinx Virtex2 FPGA at frequency 90 MHz.
This paper proposes a image enhancement and segmentation method for mammographic images, which is based on the pixel intensity transformation, spatial filtering, edge detection, and region growing techniques. This method consists of two approaches. The first approach is applying intensity transformation, logarithmic transformation, contrast stretching, histogram equalization and spatial filtering...
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