Shubhi Kansal

• Professor
• Assistant Professor at Madhav Institute of Technology & Science Gwalior

Wireless technology will advance with the launch of 6G, which will be essential for providing a dependable connection between sensing components in Internet of Things (IOT) applications. The next generation of intelligent transportation systems (ITS) will be greatly influenced by these two processes. A unique method for distributed neural networks...

Contrast enhancement of an image can be performed by using a simple histogram equalisation (HE) technique. However, there are some drawbacks of HE like immense brightness change, artificial effects, over‐enhancement, which make it unsuitable to be used in many applications. To resolve these issues a new adaptive heuristic HE approach is proposed in...

Most of the adaptive histogram equalization methods enhanced the image locally instead of global enhancement. In this paper, a global enhancement method is proposed which is based on modified probability density function and expected value of image intensity. Adaptiveness is introduced here in the form of expected value of image intensity. This met...

An adaptive geometric filter approach based on average brightness of the image and discrete cosine transform (DCT) coefficient adjustment is proposed in this paper for gray and color image enhancement. Adaptive geometric filter is employed for smoothing the histogram peaks before histogram equalization and DCT coefficient adjustment is applied for...

Contrast magnification is a critical parameter of image enhancement. Remote sensing images are distance captured images, so they naturally have very low contrast as compared to other images. In this paper a very simple and efficient technique based on adaptive gamma correction and Discrete cosine transform(DCT) is proposed which can bring out the m...

Contrast enhancement and Mean brightness conservation are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment but also high contrast may cause over or under enhancement in the enhanced image. In this paper a new unsharp mask filtering technique with the combination of histogram equalization...

Mean brightness conservation and enhancement of contrast are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment. Entropy of an image represents the image contrast. Contrast can be well enhanced by increasing entropy. Entropy can be maximized by making the image histogram as flat as possible...

Histogram equalization is the simplest method of image enhancement. Mean brightness and contrast are important parameters of an image. Artifacts are generated if the original mean brightness of an image is not preserved. A high contrast provides good visual quality. Contrast can be increased by increasing entropy of the image. Entropy can be maximi...