Dts, Inc.

Almalence, Inc.

Other

Dmitry Valerievich Shmunk

Eugene Alexandrovich Panich

Richard J Beaton

Pavel Chubarev

Dmitry Rusanov

Victor Aleksandrovich Monarev

Optics systems presented are arranged as high-performance imagers particularly characterized by their exceptional compactness in view of image quality. A plurality of lens and let's and or doublets are configured to cooperate with related mount systems optimized for compactness. To achieve very high resolution imaging despite somewhat abbreviated compound lens design, these systems include use of lens array elements proximate to an imaging plane. So placed lens array devices may be designed with lens elements which invariably operate on incident wave planes with radial dependence. That is, the focusing strength of lenses from which these lens arrays are comprised may depend upon its distance from system optic axis. This enables an imaging correction function that counters distortion and other undesirable imaging errors typically present in a simplified compound lens systems. When used together and in conjunction with special-purpose collapsing lens mounting systems, an imaging system of very high fidelity and very compact weight size is achieved to great advantage in system when a premium on lens size is necessitated.

Collapsible imaging systems having lens arrays

Systems are presented with special mechanical means to switch a set of lens elements to form a compound lens from a storage position to an imaging position. In the storage mode, these arrangements offer highly efficient space saving schemes suitable for use in application where space is a premium. In the imaging mode, a plurality of lens singlets are brought together on a common imagine axis whereby they operate to form very high quality images at a single image plane. Singlet lenses are held in a lens mount device of a disk element. A plurality of similar cooperating disk elements move against adjacent coupled disks to cause well-regulated desirable motion and positioning. Specifically, portions of the disk include a cam system which permits smooth movement as disk elements are counter rotated with respect to each other thus driving the preferred positioning.

Collapsible lens mount systems

Optical imaging systems are presented with high performance physical optics in conjunction with advanced image processing technique specifically tuned with respect to those physical optics to realize compact, very high resolution imaging systems. Clever geometric arrangements of lens elements and translation systems to effect motion between those arrangements support very compact storage modes and high performance imaging modes in the same device. As such, these imaging systems disclosed are particularly useful for photography and videography applications where highly portable and compact platforms are in demand. Systems which are small enough to be integrated with a common smartphone computing platform can produce very high resolution images comparable to those of high end digital single lens reflex DSLR systems.

Optical imaging systems with algorithmic aberration corrections

A device having a camera module, installed on the housing of the device such that the position of the camera module relative to the housing can be changed. One of the positions, an exposure position, involves optical elements which are oriented so as to be able to project light onto light-sensitive elements in order to produce an image on one or more sensors. A second position involves being flush against, and as close as possible to, the housing of the mobile device, by means of folding. The overall thickness of the camera module is structurally limited by the thickness of the thickest optical or light-sensitive element. The device contains structural elements for processing a digital representation of an image obtained from the light-sensitive elements. The camera module includes optical elements in the form of a set of thin lenses and/or mirrors, and one or a plurality of light-sensitive elements, namely sensors consisting of light-sensitive pixels. If the camera module has a plurality of sensors and a plurality of groups of lenses, separate light flows are directed onto corresponding sensors, wherein means for processing the digital representation of the image unite the images obtained from the sensors so as to produce a single image of increased quality. The use of a mobile device having such a camera module allows for producing high-quality images, especially in low-light conditions, while maintaining small device dimensions.

Mobile device with folding optical elements

A digital method for removing optical aberrations from the image is disclosed. The method includes the initial profiling of an optical system and using the obtained information to correct the optical aberrations introduces to the image by the same or identical optical system.

Digital correction of optical system aberrations

The present invention provides for methods and apparatuses for processing audio data. In one embodiment, there is provided a method for achieving bitstream scalability in a multi-channel audio encoder, said method comprising receiving audio input data; organizing said input data by a Code Excited Linear Predictor (CELP) processing module for further encoding by arranging said data according to significance of data, where more significant data is placed ahead of less significant data; and providing a scalable output bitstream; a higher bitrate bitstream is scaled to lower bitrate by discarding less significant data from frame ends. The organized CELP data comprises of a first part and a second part. The first part comprises a frame header, sub frame parameters and innovation vector quantization data from the first frame from all channels. The innovation vector quantization data from the first frames from all channels is arranged according to channel number.

Scalable code excited linear prediction bitstream repacked from a higher to a lower bitrate by discarding insignificant frame data

A predictive pattern high-frequency reconstruction system and method that finds patterns in high-frequency components of an audio signal, encodes the audio signal into an encoded bitstream along with pattern information, and then uses the patterns to reconstruct the high-frequency components during decoding. The high-frequency components can be reconstructed using the pattern information alone. Embodiments of the system and method map normalized subband signals of the audio signal to a scaled representation of a time-frequency grid containing multiple tiles and perform statistical analysis on each tile to estimate subband parameters and determine whether a pattern exists. If a pattern does exist, it can be encoded in the encoded bitstream, transmitted, and used to reconstruct the high-frequency components at the decoder. A direct search technique and a fast Fourier transform (FFT) technique may be used to perform the statistical analysis.

Reconstruction of a high-frequency range in low-bitrate audio coding using predictive pattern analysis

A method of processing of photo and video images is disclosed which searches for a minimum of cost functions carried out at an N-number of image detail levels, from coarser to finer, and at each image detail level the image is divided into regions; each region is assigned a single segmentation value by a &#x3b7;-number of successive iterations. The value of the cost function for the seams at the region boundaries is calculated with different types of image segmentation, and for every region a segmentation value is chosen which minimizes the sum of the cost functions of the seams and data. The technical result is the segmentation of an image with little use of the memory resources of a mobile device while maintaining both resistance to image noise and operating speed.

Method of image segmentation

A method and a digital filter, for use with photo and video images, includes using a camera or video camera equipped with sensors and an electronic shutter to capture a plurality of frames of low resolution and producing one frame of high resolution. A plurality of frames are exposed. Initial images are in the form of a continuous sequence of frames with high-speed capture. The frequency of the frames is inversely proportional to the magnitude of that part of the light-sensitive region of the sensor that is being scanned. The initial images are aligned and an enhanced image is produced. The enhanced image is filtered using a nonlinear filter which includes a neural network that is pretrained using a test image including radial and sinusoidal test charts, as well as reference points.

Method for producing super-resolution images and nonlinear digital filter for implementing same

A method for producing high-quality photographic images in low-light conditions and in the absence of large-aperture optics. The method includes, upon photographing, first obtaining a plurality of frames of the image with exposures which either partially overlap in time or with an insignificant pause between them. The best result can be obtained in the case when the pause between the exposures represents less than 1/20 of the overall exposure time. The method further includes separating out the initial images from a group of exposures and filtering the images having the smallest exposure interval using the images having the largest exposure interval. The final image is obtained by combining initial images having different exposure intervals from the same group.

Method for improving images

A low-cost, real-time solution is presented for compensating memoryless non-linear distortion in an audio transducer. The playback audio system estimates signal amplitude and velocity, looks up a scale factor from a look-up table (LUT) for the defined pair (amplitude, velocity) (or computes the scale factor for a polynomial approximation to the LUT), and applies the scale factor to the signal amplitude. The scale factor is an estimate of the transducer's memoryless nonlinear distortion at a point in its phase plane given by (amplitude, velocity), which is found by applying a test signal having a known signal amplitude and velocity to the transducer, measuring a recorded signal amplitude and setting the scale factor equal to the ratio of the test signal amplitude to the recorded signal amplitude. Scaling can be used to either pre- or post-compensate the audio signal depending on the audio transducer.

System and method for compensating memoryless non-linear distortion of an audio transducer

Digital audio samples are represented as a product of scale factors codes and corresponding quantity codes, sometimes referred to as exponent/mantissa format. To compress audio data, scale factors are organized by sample time and frequency either by filtering or frequency transformation, into a two-dimensional frame. The frame may be decomposed into 'tiles' by partition. One or more such scale factor tiles are compressed by transformation by a two-dimensional, orthogonal transformation such as a two dimensional discrete cosine transform. Optional further encoding is applied to reduce redundancy. A decoding method and an encoded machine readable medium complement the method of encoding.

Compression of audio scale-factors by two-dimensional transformation

Neural networks provide efficient, robust and precise filtering techniques for compensating linear and non-linear distortion of an audio transducer such as a speaker, amplified broadcast antenna or perhaps a microphone. These techniques include both a method of characterizing the audio transducer to compute the inverse transfer functions and a method of implementing those inverse transfer functions for reproduction. The inverse transfer functions are preferably extracted using time domain calculations such as provided by linear and non-linear neural networks, which more accurately represent the properties of audio signals and the audio transducer than conventional frequency domain or modeling based approaches. Although the preferred approach is to compensate for both linear and non-linear distortion, the neural network filtering techniques may be applied independently.

Neural network filtering techniques for compensating linear and non-linear distortion of an audio transducer

A method for compressing audio input signals to form a master bit stream that can be scaled to form a scaled bit stream having an arbitrarily prescribed data rate. A hierarchical filterbank decomposes the input signal into a multi-resolution time/frequency representation from which the encoder can efficiently extract both tonal and residual components. The components are ranked and then quantized with reference to the same masking function or different psychoacoustic criteria. The selected tonal components are suitably encoded using differential coding extended to multichannel audio. The time-sample and scale factor components that make up the residual components are encoded using joint channel coding (JCC) extended to multichannel audio. A decoder uses an inverse hierarchical filterbank to reconstruct the audio signals from the tonal and residual components in the scaled bit stream.

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Novosibirsk, Russia

Dmitry Valerievich Shmunk