Figure 3. (a) Distance histogram without smoothing. (b) Smoothed histogram from (c). The red point is the threshold.

A histogram-based technique for robust contrast measurement is proposed. The method is based on fitting the histogram of the measured image to the histogram of a model function, and it can be used for contrast determination in fringe patterns. Simulated and experimental results are presented.

This paper proposes the use of a vector of color histogram peaks as an efficient and effective way for many image indexing problems. It shows that histogram peaks are more stable than general histogram bins when there are variation of scale and/or scale. We also introduce the structure of a room recognition system which applies this indexing technique to omni-directional images of rooms. Experi...

Integral Histogram is widely used among various real-time algorithms due to its computationally efficient facility to compute histograms from an image. However, its advantage is greatly diminished for algorithms requiring only a few histograms since required initialization operation takes up majority of total running time. In this paper we propose a block-based integral histogram that drastical...

-------------------------------------------------------ABSTRACT ------------------------------------------------------------Image Enhancement aims at improving the visual quality of input image for a particular area. The criterion used by enhancement algorithms to enhance the image is; using histogram details of that image. This paper defines the various applications of histograms through which...

This paper deals with some error effects caused by additive noise at analogue-to-digital converters (ADCs) testing based on the histogram method and the exponential shape of input testing stimulus. The histogram method with the exponential stimulus has been an alternative test method for ADC that was developed by the authors of this paper. Here, the theoretical analysis of some errors in estima...

Histogram-based image segmentation is one of the simplest and most often used segmentation techniques. It uses the histogram to select the gray levels for grouping pixels into regions. In a simple image there are two entities: the background and the object. The background is generally one gray level and occupies most of the image. Therefore, its gray level is a large peak in the histogram. The ...

This work proposes a reversible data hiding algorithm that is based on the median difference histogram. The method divides the cover image into non-overlapping identical blocks. In each block, the median pixel is selected to calculate absolute differences between the median pixel value and the values of the other pixels. Then, these differences are used to generate a histogram and the histogram...

Most of the image compression techniques currently available were designed mainly with the aim of compressing continuous-tone natural images. However, if this assumption is not verified, such as in the case of histogram sparseness, a degradation in compression performance may occur. In this paper, we analyze the impact of histogram sparseness in three state-of-the-art lossless image compression...

This paper has discuss the various techniques for image enhancement i.e histogram equalization, Brightness preserving bi-histogram equalization(BBHE), Dualistic Sub-Image Histogram Equalization (DSIHE), Minimum Mean Brightness Error Bi-HE Method (MMBEBHE), Recursive Mean –Separate HE Method (RMSHE),Mean brightness preserving histogram equalization(MBPHE).As well as it represents the comparison ...