Histogram Equalization (HE) is a simple and effective image enhancement technique.But, it tends to change the mean brightness of the image to the middle level of the permitted range, and hence is not a very suitable for consumer product. While preserving the original brightness is essential to avoid annoying artefacts. To preserve brightness and to enhance contrast of images, numerous methods a...

Multipurpose Beta Optimized Recursive Bi-histogram Equalization (MBORBHE) method has been proposed in this article for contrast enhancement of US image. Histogram equalization (HE) is very popular for contrast enhancement. But conventional HE methods do not consider brightness and detail preservation simultaneously during contrast enhancement of US image. In case of our proposed method brightne...

Existing dehazing methods based on the atmospheric scattering model improve image contrast and color fidelity at the cost of image brightness. We propose the use of transmission to combine the dehazing and retinex methods for visibility enhancement. The proposed method achieves both color fidelity and brightness without over saturation. Keywords—dehazing;retinex;image enhancement;

Brightness values of pixels in an image are related to image irradiance by a non-linear function, called the radiometric response function. Recovery of this function is important since many algorithms in computer vision and image processing use image irradiance. Several investigators have described methods for recovery of the radiometric response, without using charts, from multiple exposures o...

Magnetic resonance imaging (MRI) of the brain is a precious tool to facilitate physician’s diagnoses and care for a mixture of brain diseases including stroke, cancer, and epilepsy. It presents exact information to discover the diseases. Histogram equalization is one of the important steps in image enhancement technique for MRI. This paper compares different methods like Brightness Preserving B...

Image contrast enhancement is a fundamental pre-processing step in application requiring image processing operations. Histogram Equalization (HE) method is widely used for contrast enhancement. However, HE is not suitable for consumer electronic products directly. As a result, such image creates side-effects such as washed out appearance and false contouring due to the significant change in bri...