Abstract — In this paper, the problem of histogram representation is addressed. In the case of multi-component images, this problem is not trivial: the theoretical “naïve” required memory space goes exponentially beyond todays technical capacities. To overcome this problem, we present a lossless compact representation of vector histograms. It is based on the use of a space filling curve to index the data space. The application of this representation to vector histogram equalization is then considered. I
Histogram-based lossless data embedding (LDE) has been recognized as an effective and efficient way ...
Abstract – Medical images are one of the fundamental images, because they are used in more sensitive...
Abstract. Many approaches in computer vision require multiple re-trievals of histograms for rectangu...
International audienceThe problem of histogram representation is addressed. In the case of multi-com...
We present a compact histogram computation algorithm which considerably reduces, without loss, the a...
We describe an approach toward multidimensional histogram equalization for the enhancement of color ...
This paper analyzes the effect of histogram equalization on the wavelet based compression techniques...
An analysis of the local histogram equalization algorithm is presented. An adaptation of the algorit...
We present a novel method, which we refer as an integral histogram, to compute the histograms of all...
We present a novel method, which we refer as an integral histogram, to compute the histograms of all...
[[abstract]]Histogram equalization (HE) is a widely used contrast enhancement (CE) method in image p...
Summarizing topological relations is fundamental to many spatial applications including spatial quer...
We present a novel method, which we refer as an integral histogram, to compute the histograms of al...
International audienceThis article addresses the problem of histogram matching in the context of med...
In this paper I have described histogram expansion. Histogram expansion is a technique of histogram ...
Histogram-based lossless data embedding (LDE) has been recognized as an effective and efficient way ...
Abstract – Medical images are one of the fundamental images, because they are used in more sensitive...
Abstract. Many approaches in computer vision require multiple re-trievals of histograms for rectangu...
International audienceThe problem of histogram representation is addressed. In the case of multi-com...
We present a compact histogram computation algorithm which considerably reduces, without loss, the a...
We describe an approach toward multidimensional histogram equalization for the enhancement of color ...
This paper analyzes the effect of histogram equalization on the wavelet based compression techniques...
An analysis of the local histogram equalization algorithm is presented. An adaptation of the algorit...
We present a novel method, which we refer as an integral histogram, to compute the histograms of all...
We present a novel method, which we refer as an integral histogram, to compute the histograms of all...
[[abstract]]Histogram equalization (HE) is a widely used contrast enhancement (CE) method in image p...
Summarizing topological relations is fundamental to many spatial applications including spatial quer...
We present a novel method, which we refer as an integral histogram, to compute the histograms of al...
International audienceThis article addresses the problem of histogram matching in the context of med...
In this paper I have described histogram expansion. Histogram expansion is a technique of histogram ...
Histogram-based lossless data embedding (LDE) has been recognized as an effective and efficient way ...
Abstract – Medical images are one of the fundamental images, because they are used in more sensitive...
Abstract. Many approaches in computer vision require multiple re-trievals of histograms for rectangu...