A subblock-based coding of transform coefficient blocks of the enhancement layer is rendered more efficient. To this end, the subblock subdivision of the respective transform coefficient block is controlled on the basis of the base layer residual signal or the base layer signal. In particular, by exploiting the respective base layer hint, the subblocks may be made longer along a spatial frequency axis transverse to edge extensions observable from the base layer residual signal or the base layer signal.

A method of adjusting a bitrate of an image based includes: identifying magnitudes of one or more frequency components in the image; determining a frequency filter based on a difference between a current bitrate and a target bitrate of the image such that the greater is the difference between the current bitrate and the target bitrate, magnitudes of the more high frequency components are reduced by the frequency filter; and applying the determined frequency filter to the magnitudes of the one or more frequency components.

A method of adjusting a bitrate of an image based includes: identifying magnitudes of one or more frequency components in the image; determining a frequency filter based on a difference between a current bitrate and a target bitrate of the image such that the greater is the difference between the current bitrate and the target bitrate, magnitudes of the more high frequency components are reduced by the frequency filter; and applying the determined frequency filter to the magnitudes of the one or more frequency components.

An embodiment of the present invention provides a picture processing method in an embedded system. The picture processing method includes: performing a bit setting operation on an input/output register corresponding to a communication GPIO port of a camera module in the embedded system, so as to improve a picture collection speed of the camera module; compressing a collected picture using a preset picture compression algorithm and transmitting the compressed picture to a picture preprocessing unit in the embedded system; and filtering out, by the picture preprocessing unit, a picture background using a preset filtering algorithm to obtain picture features of a target object in the picture. With the picture processing method, requirements for an occupied memory resource are balanced while a picture collection speed and a picture data processing speed are increased.

An embodiment of the present invention provides a picture processing method in an embedded system. The picture processing method includes: performing a bit setting operation on an input/output register corresponding to a communication GPIO port of a camera module in the embedded system, so as to improve a picture collection speed of the camera module; compressing a collected picture using a preset picture compression algorithm and transmitting the compressed picture to a picture preprocessing unit in the embedded system; and filtering out, by the picture preprocessing unit, a picture background using a preset filtering algorithm to obtain picture features of a target object in the picture. With the picture processing method, requirements for an occupied memory resource are balanced while a picture collection speed and a picture data processing speed are increased.

Scalable video coding is rendered more efficient by deriving/selecting a subblock subdivision to be used for enhancement layer prediction, among a set of possible subblock subdivisions of an enhancement layer block by evaluating the spatial variation of the base layer coding parameters over the base layer signal. By this measure, less of the signalization overhead has to be spent on signaling this subblock subdivision within the enhancement layer data stream, if any. The subblock subdivision thus selected may be used in predictively coding/decoding the enhancement layer signal.

Scalable video coding is rendered more efficient by deriving/selecting a subblock subdivision to be used for enhancement layer prediction, among a set of possible subblock subdivisions of an enhancement layer block by evaluating the spatial variation of the base layer coding parameters over the base layer signal. By this measure, less of the signalization overhead has to be spent on signaling this subblock subdivision within the enhancement layer data stream, if any. The subblock subdivision thus selected may be used in predictively coding/decoding the enhancement layer signal.

Video compression and decompression techniques are disclosed that provide improved bandwidth control for video compression and decompression systems. In particular, video coding and decoding techniques quantize input video in multiple dimensions. According to these techniques, pixel residuals may be generated from a comparison of an array of input data to an array of prediction data. The pixel residuals may be quantized in a first dimension. After the quantization, the quantized pixel residuals may be transformed to an array of transform coefficients. The transform coefficients may be quantized in a second dimension and entropy coded. Decoding techniques invert these processes. In still other embodiments, multiple quantizers may be provided upstream of the transform stage, either in parallel or in cascade, which provide greater flexibility to video coders to quantize data in different dimensions in an effort to balance the competing interest in compression efficiency and quality of reconstructed video.

Video compression and decompression techniques are disclosed that provide improved bandwidth control for video compression and decompression systems. In particular, video coding and decoding techniques quantize input video in multiple dimensions. According to these techniques, pixel residuals may be generated from a comparison of an array of input data to an array of prediction data. The pixel residuals may be quantized in a first dimension. After the quantization, the quantized pixel residuals may be transformed to an array of transform coefficients. The transform coefficients may be quantized in a second dimension and entropy coded. Decoding techniques invert these processes. In still other embodiments, multiple quantizers may be provided upstream of the transform stage, either in parallel or in cascade, which provide greater flexibility to video coders to quantize data in different dimensions in an effort to balance the competing interest in compression efficiency and quality of reconstructed video.

Examples of a low complexity enhancement video coding are described. Encoding and decoding methods are described, as well as corresponding encoders and decoders. The enhancement coding may operate on top of a base layer, which may provide base encoding and decoding. Spatial scaling may be applied across different layers. Only the base layer encodes full video, which may be at a lower resolution. The enhancement coding instead operates on computed sets of residuals. The sets of residuals are computed for a plurality of layers, which may represent different levels of scaling in one or more dimensions. A number of encoding and decoding components or tools are described, which may involve the application of transformations, quantization, entropy encoding and temporal buffering. At an example decoder, an encoded base stream and one or more encoded enhancement streams may be independently decoded and combined to reconstruct an original video.