Well-defined image can assist user to identify region of interest during segmentation. However, complex medical image is usually characterized by poor tissue contrast and low background luminance. The contrast improvement can lift image visual quality, but the fundamental contrast enhancement methods often overlook the sudden jump problem. In this work, the proposed bihistogram Bezier curve con...

Convolutional neural networks rely on image texture and structure to serve as discriminative features to classify the image content. Image enhancement techniques can be used as preprocessing steps to help improve the overall image quality and in turn improve the overall effectiveness of a CNN. Existing image enhancement methods, however, are designed to improve the perceptual quality of an imag...

In 1997, we published a high performance scalable bitrate-oriented wavelet image codec, Significance Linked Connected Component Analysis (SLCCA). In term of coding efficiency, SLCCA outperforms EZW, SPHIT and JPEG2000, which are each an embedded image codec. SLCCA is optimized for any given bit rate. Although scalable, its coded bit stream is not fully embedded. In the paper, we provide an embe...

In digital image enhancement, contrast enhancement plays an important role. The main objective of contrast enhancement is to correct the local contrast in different area of the image. So that the feature unseen in the dark or bright area is brought out and exposed to the human views. In this paper improve the brightness of the dimmed images and preservation of image feature via multilevel thres...

Background: Body image is an integral component of the self-concept that significantly shapes human functioning and people’s life outcomes. Although negative body image is well-studied, there is little research on positive body image. The study examined the basic characteristics of positive body image intending to standardize a scale for it.  Methods: The study used using an exploratory resear...

Wideband enhancement was implemented by detecting visually relevant edge and bar features in an image to produce a bipolar contour map. The addition of these contours to the original image resulted in increased local contrast of these features and an increase in the spatial bandwidth of the image. Testing with static television images revealed that visually impaired patients (n = 35) could dist...

In medical image processing, retinal image enhancement is the challenging issue to reveal the unseen details of an retinal image, thus, in many applications image enhancement issued to solve the challenges such as, noise reduction, blurring, degradation, etc. To improve the visual grade of retinal images we have many alternative image enhancement techniques that are suitable for specific applic...

Image enhancement is an important procedure of image processing and analysis. This paper presents a new technique using a modified measure and blending of cuckoo search and particle swarm optimization (CS-PSO) for low contrast images to enhance image adaptively. In this way, contrast enhancement is obtained by global transformation of the input intensities; it employs incomplete Beta function a...

The main objective of image enhancement is to process an image so that result is more suitable than the original image for specific application. Advancement in the technology brings the development in the Digital image processing techniques in both domains: spatial domain and frequency domain. Image enhancement plays a vital role in every field where images have to be understood and analyzed. M...

High resolution RADAR images of contiguous targets like vehicles on road often suffer from side lobe enhancement. This leads to false alarm in target detection and degradation in image quality. In this paper, adaptive CLEAN algorithms are introduced to eliminate side lobe enhancement and significantly improve the target detection with better image quality. The effectiveness of the CLEAN algorit...