Abstract: According to at least one embodiment, a method for generating a mesh deformation of a facial model includes: generating a first plurality of deformation maps by applying a first plurality of neural network-trained models; extracting a first plurality of vertex offsets based on the first plurality of deformation maps; and applying the first plurality of vertex offsets to a neutral mesh of the facial model to generate the mesh deformation of the facial model.

Abstract: An electronic apparatus including an input unit configured to separate image data into pixel blocks and serially input luminance data and color difference data of each pixel block as individual pieces of block data, respectively, a quantization unit configured to serially convert each piece of the block data into quantized data, an encoding unit configured to serially convert each piece of the quantized data into encoded data, a color generation unit configured to generate compressed color image data using the encoded data, and a monochrome generation unit configured to generate compressed monochrome image data using the encoded data by performing one of deleting particular pieces of encoded data corresponding to the color difference data from a data sequence of the encoded data generated through the conversion by the encoding unit, and replacing the particular pieces of encoded data with encoded data corresponding to monochrome color difference data.

Abstract: A signal encoding and compression system with dynamic downsampling may include an encoder module configured to decimate a first digital signal, thereby producing a second digital signal. Each signal may then be DPCM-encoded. Decision logic may then be used to determine which encoded signal to provide as an output, based on a characteristic of the original signal.

Abstract: Provided a resolution conversion method, which converts the resolution of an image by using orthogonal transform, and in which block noise reduction processing is performed according to the increasing magnification of the image.

Abstract: A method for reducing data amount in an image memory system is disclosed. First, it omits one image column from every N image column in left and right portions of the input image, respectively, based on a predetermined percentage, thereby obtaining an image having a reduced data amount. Next, the image having the reduced data amount is sent to an image encoder to encode and accordingly store an encoded image. Then, the encoded image is transmitted to an image decoder through a transmission channel. Then, the encoded image is decoded by the image decoder as received, thereby obtaining a decoding image. Finally, a pixel insertion is performed on reduced image columns of the decoded image.