Vikash Yadav

Comparative Analysis of Contrast Enhancement Techniques of Different Image

Contrast enhancement is an important technique of image processing for the enhancement of contrast of an image in the spatial domain. Numbers of contrast enhancement techniques are available. This paper proposes comparative analysis of various contrast enhancement techniques applied on different images. PSNR and MSE value after enhancement is depicted in the tabular form as well as graphical form to analyze the best enhancement technique applied on corresponding images.

A Hybrid Image Compression Technique for Medical Images

Due to the bandwidth and storage limitations, medical images must be compressed before transmission and storage. However, the compression will reduce the image fidelity, especially when the images are compressed at lower bit rates. The reconstructed images suffer from blocking artifacts and the image quality will be severely degraded under the circumstance of high compression ratios. In this paper, we present a strategy to increase the compression ratio with simple computational burden and excellent decoded quality. Higher compression ratio is achieved by applying different compression thresholds for the wavelet coefficients of each DWT band (LL and HH) while DCT transform is applied on (HL and LH) bands with preserving the quality of reconstructed medical image. The retained coefficients are quantized by using adaptive quantization according to the type of transformation. Finally the entropy coding (variable shift coding) is used to encode the quantization indices. The Discrete Wavelet Transform (DWT) analyzes the signal at different frequency bands with different resolutions by decomposing the signal into an approximation and detail information. Image coded by DWT do not have the problem of blocking artifacts which the DCT approach may suffer.

A biometric approach to secure big data

Biometrics is the science of establishing the identity of an individual based on the physical, chemical or behavioral attributes of the person. The relevance of biometrics in modern society has been reinforced by the need for large-scale identity management systems whose functionality relies on the accurate determination of an individuals identity in the context of several different applications. Recently a very popular technology and concept is followed by many Social networking Web sites this is “Big Data”. A data which is not only large in volume but also in unstructured way is termed as Big Data. Security in Big Data is the main issue now a day. In this paper we throw some light on how different bio-metric technologies play an important role to maintain and provide security in Big Data.

Addition of yellow frequency in the spectrum for improving vision due to fog

In this paper the problem of visibility in the bad weather conditions is handled. The foggy weather conditions are the cause of degradations in the image. All the relevant information is lost if the images are taken in a bad weather. Due to these weather conditions the performance of the cameras and outdoor surveillance systems are also affected. In order to reduce the degradations caused by the fog and the blur, there is a need to develop algorithms which can give clarity in the image. Many algorithms have been implemented to accomplish the task. The introduction of yellow light in the spectrum of the image gives better results than any of the base algorithms implemented. Using this fact to our advantage the paper presents a new algorithm which is a very simple yet it is an effective approach for getting the images with more clarity.