This paper proposed an efficient method for contrast enhancement of real world hyper spectral images. The contrast of image is an important characteristic by which the quality of image can be judged as good or poor quality. The proposed method is consists of two stages: In first stage the poor quality of image is process by automatic contrast adjustment in spatial domain and in second stage the...

Nowadays devices are able to capture and process images from complex surveillance monitoring systems or from simple mobile phones. In certain applications, the time necessary to process the image is not as important as the quality of the processed images (e.g., medical imaging), but in other cases the quality can be sacrificed in favour of time. This thesis focuses on the latter case, and propo...

Denoising the CT images removes noise from the CT images and so makes the disease diagnosis procedure more efficient. The denoised images have a notable level of raise in its PSNR values, ensuring a smoother image for diagnosis purpose. In the previous work, a CT image denoising technique using window-based Multi-wavelet transformation and thresholding has been proposed. The performance of the ...

Contrast enhancement plays a key role in analyzing medical images taken through different diagnosing methods (like CT scan, X-ray and MRI) especially in biomedical applications and secures digital image transmission. The principle objective of image enhancement technique is to improve the characteristics or quality of an input image. To improve the image contrast, numerous enhancement technique...

Image Enhancement is one of the first steps in Image processing. It is a cosmetic procedure, i.e. it does not add any extra information to the original image. It merely improves the subjective quality of the images by working with the existing data and is used for improving the interpretability or perception of information in images for human viewers. In this project, hybrid approach and Log-So...

repeating x-ray radiographs, as a common problem in radiology units, represent additional, non-billable costs due to increased film, chemistry, and equipment use as well as increased personnel time. furthermore, patients receive additional radiation exposure from repetitions and must remain on the premises until the second exam is completed. compounding the overt negative financial impact on th...

In this work, we propose a hybrid vector quantization scheme for general images that aims at exploiting similarities among detail signals in a multiresolution decomposition of the image. In a multiresolution decomposition, the image is decomposed into a set of subbands which are localized in scale, orientation and space. Our coding scheme consists of dividing each subimage of the multiresolutio...

Measurement of visual quality is of fundamental importance for numerous stereoscopic image and video processing applications. The effect of distortions on the perceived stereoscopic images quality already been investigated. But few works focus on the weight preference between distortion types. This paper firstly analyzed the weight preference of stereoscopic images between distortion types. The...

Multiresolution based coding schemes have received sig-niicant attention in the eld of image compression due to their advantages over standard block transform based coders. In this paper a novel multiresolution adaptive VQ (MRAVQ) still image codec is presented. A biorthogo-nal wavelet transform is applied on the input image to generate a number of subbands. The wavelet coeecients are coded usi...

This paper deals with the network technology that will be useful for the development of distributed satellite image databases. In particular, the author proposes a new caching mechanism by combining multiresolution image representation into cache management mechanism. The author first analyzes access pattern to a satellite image database and demonstrates that many kinds of access skew can be we...