#Multimedia tools and applications software#

Then, the low-frequency sub-image is subjected to a histogram-limitation technique to acquire the wavelet integer coefficients. First, a single-layer wavelet transform is performed on the input image to obtain a low-frequency sub-image and three high-frequency sub-images. To resolve this issue, this paper presents an approach to image enhancement that uses a limited wavelet integer coefficient histogram to maintain high information entropy. This can lead to a loss of detail and make the target image look unnatural. However, traditional histogram equalization tends to have technical defects such as over-enhancement and artifacts. Histogram equalization plays an important role in digital image preprocessing. The results show that the calculation speed of this method is faster, and it can effectively enhance the information in the reflection image, and simultaneously effectively improve the clarity of the image. Finally, we compare the algorithm in this paper with the existing algorithms in subjective vision and objective evaluation. Then, it uses an improved guided image filtering algorithm to enhance the image, introduces adjustment parameters based on local variance information in the cost function of the guided filtering algorithm, and introduces an adaptive magnification factor in the detail layer. This method uses the dark channel prior algorithm to process the specular image, in which the moving window minimum filter is used to estimate the global illumination component of the specular image, and a weighting function based on local pixel chromatic aberration is introduced under the boundary constraints. 'synopsis' may belong to another edition of this title.Aiming at the problems of image quality degradation and information loss in images affected by reflections in real scenes, this paper proposes a fast and effective specular reflection image enhancement algorithm. Multimedia Tools and Applications, along with its companion volume, is intended for anyone involved in multimedia system design and applications and can be used as a textbook for advanced courses on multimedia. The topics include multimedia objects and related models, multimedia compression techniques and standards, multimedia interfaces, multimedia storage techniques, multimedia communication and networking, multimedia synchronization techniques, multimedia information systems, scheduling in multimedia systems, and video indexing and retrieval techniques. The second book, Multimedia Systems and Techniques, covers fundamental concepts and techniques used in multimedia systems. Selected key applications described in the book include multimedia news services, multimedia courseware and training, interactive television systems, digital video libraries, multimedia messaging systems, and interactive multimedia publishing systems. Topics presented include multimedia application development techniques, techniques for content-based manipulation of image databases, techniques for selection and dissemination of digital video, and tools for digital video segmentation. This book covers selected tools applied in multimedia systems and key multimedia applications. Multimedia Tools and Applications is one of two volumes published by Kluwer, both of which provide a broad introduction to this fast moving area. New applications based on distributed multimedia systems include multimedia information systems, collaborative and videoconferencing systems, on-demand multimedia services, and distance learning.

However, the combination of multimedia computing with distributed systems offers even greater potential.

#Multimedia tools and applications software#

As the first area of research, much effort has been centered on the stand-alone multimedia workstation and associated software systems and tools, such as music composition, computer-aided education and training, and interactive video. Research and development efforts in multimedia computing can be divided into two areas. Looking at the big picture, multimedia can be viewed as the merging of three industries: the computer, communications, and broadcasting industries. Multimedia computer systems have opened a wide range of applications by combining a variety of information sources, such as voice, graphics, animation, images, audio, and full-motion video. Multimedia computing has emerged in the last few years as a major area of research.