Abstract: The present invention relates to an improved ultrasound imaging method/technique for speckle reduction/suppression in an ultra sound imaging system in which scan conversion and speckle reduction is performed simultaneously in the scan conversion stage avoiding any kind of conventional interpolation. An improved method for speckle reduction in an ultrasound imaging system and an improved ultra sound imaging system for speckle reduction is provided in the present invention. The method comprises steps of receiving in a processor means raw data samples as an input comprising image signals with noises from a logarithmic amplifier, processing the received image signals for scan conversion and speckle reduction in the processor means so as to get pixel value from the raw data samples and to perform speckle reduction so as to provide speckle filtered output image.

Abstract: A method and system to detect the microcalcifications (MC) in different type of images viz. X-ray images/mammograms/computer tomography with varied densities using nonlinear energy operator (NEO) is disclosed to favor precise detection of early breast cancer. Such Microcalcifications are associated with both high intensity and high frequency content. The same NEO output is useful to detect and remove the irrelevant curvilinear structures (CLS) thereby helps in reducing the false alarms in micro calcification detection technique. This is effective on different dataset (scanned film, mammograms with large spatial resolution such as CR and DR) of varied breast composition (viz. dense, fatty glandular, fatty), demonstrated quantitatively by Free-response receiver operating characteristic (FROC). Importantly, the method and apparatus of the invention can be used in conjunction with machine learning techniques viz.

Abstract: A method of removing fog from the images/videos independent of the density or amount of the fog and free of user intervention and a system for carrying out such method of fog removal from images/videos are disclosed. The removal of fog from images and video involve airlight estimation and airlight map refinement based restoration of foggy images and videos. Advantageously, removal of fog from images and videos of this invention would require less execution time and yet achieve high perceptual image quality with reduced noise and enhanced contrast. The proposed method is adapted for RGB Color model and advantageously also for HSI color model involving reduced computational requirements and be user friendly and supposed to have wide application and use.

Abstract: The invention relates to a new method and system for detection and removal of rain from video using temporal/spatiotemporal properties. Advantageously, the temporal/spatiotemporal properties are involved to separate the rain pixels from the non-rain pixels. It is thus possible by way of the present invention to involve less number of consecutive frames, reducing the buffer size and delay. It works only on the intensity plane which reduces the complexity and execution time significantly along with accurate rain detection. This new technique does not assume the shape, size and velocity of the raindrops which makes it robust to different rain conditions. This method reduces the buffer size which reduces the system cost, delay and power consumption while maintaining sufficient quality of rain detection.

Abstract: A method of removing fog from the images/videos independent of the density or amount of the fog and free of user intervention and a system for carrying out such method of fog removal from images/videos are disclosed. The removal of fog from images and video involve airlight estimation and airlight map refinement based restoration of foggy images and videos. Advantageously, removal of fog from images and videos of this invention would require less execution time and yet achieve high perceptual image quality with reduced noise and enhanced contrast. The proposed method is adapted for RGB Colour model and advantageously also for HSI colour model involving reduced computational requirements and be user friendly and supposed to have wide application and use.

Abstract: A method and system to detect the microcalcifications (MC) in different type of images viz. X-ray images/mammograms/computer tomography with varied densities using nonlinear energy operator (NEO) is disclosed to favor precise detection of early breast cancer. Such Microcalcifications are associated with both high intensity and high frequency content. The same NEO output is useful to detect and remove the irrelevant curvilinear structures (CLS) thereby helps in reducing the false alarms in micro calcification detection technique. This is effective on different dataset (scanned film, mammograms with large spatial resolution such as CR and DR) of varied breast composition (viz. dense, fatty glandular, fatty), demonstrated quantitatively by Free-response receiver operating characteristic (FROC). Importantly, the method and apparatus of the invention can be used in conjunction with machine learning techniques viz.

Abstract: The invention relates to a new method and system for detection and removal of rain from video using temporal/spatiotemporal properties. Advantageously, the temporal/spatiotemporal properties are involved to separate the rain pixels from the non-rain pixels. It is thus possible by way of the present invention to involve less number of consecutive frames, reducing the buffer size and delay. It works only on the intensity plane which reduces the complexity and execution time significantly along with accurate rain detection. This new technique does not assume the shape, size and velocity of the raindrops which makes it robust to different rain conditions. This method reduces the buffer size which reduces the system cost, delay and power consumption while maintaining sufficient quality of rain detection.

Abstract: The present invention relates to an improved ultrasound imaging method/technique for speckle reduction/suppression in an ultra sound imaging system in which scan conversion and speckle reduction is performed simultaneously in the scan conversion stage avoiding any kind of conventional interpolation. An improved method for speckle reduction in an ultrasound imaging system and an improved ultra sound imaging system for speckle reduction is provided in the present invention. The method comprises steps of receiving in a processor means raw data samples as an input comprising image signals with noises from a logarithmic amplifier, processing the received image signals for scan conversion and speckle reduction in the processor means so as to get pixel value from the raw data samples and to perform speckle reduction so as to provide speckle filtered output image.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.

Abstract: A method of processing medical image data includes receiving data indicative of a group of consecutive cross sectional images of a three dimensional volume being imaged. The group of consecutive cross sectional images has a first axial resolution in a z-axis direction and a first spatial resolution in x-axis and y-axis directions orthogonal to the z-axis. The method also includes transforming, such as by wavelet transforming, the group of consecutive cross sectional images in the z-axis direction to generate an axially transformed representation of the group, so that the axially transformed representation has a second axial resolution lower than the first axial resolution. The method may also include transforming the axially transformed representation in x-axis and y-axis directions to generate a spatially transformed representation.

Abstract: A technique for compressing data using non-dyadic wavelet transforms. The non-dyadic wavelet transforms may be derived from a generalized model or specific non-dyadic wavelet transforms may be constructed as needed to enhance the desired image qualities in a compressed image. The non-dyadic wavelet transforms may be differentially applied to different data dimensions to accommodate non-square transformations. In addition, the non-dyadic wavelet transforms can be cascaded to achieve novel image resolutions in the compressed images.

Abstract: A data coding system is provided for coding an uncompressed data and decoding the coded data. The data coding system comprises a position coding system for defining a context based upon a position of a most significant bit in the uncompressed data and a context value, an encoder for encoding the context to generate an encoded context and compiling the uncompressed data based on the encoded context and remaining bits of the uncompressed data to generate a coded data, and a decoder for decoding the coded data to generate a decoded data.

Abstract: A system and method for image compression and decompression is provided. The method of image compression and decompression includes selecting a portion of image in a span of interest obtained from an acquired imaging sequence; applying lossless compression to the portion of image in a span of interest and obtaining a compressed image sequence; and applying decompression to the compressed image sequence and obtaining therefrom an analytically relevant image sequence.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.