Abstract: An image processing method and apparatus may be provided. The process may include, obtaining source compressed texture data of a target image by encoding the target image by using a source compressed texture format and determining a target compressed texture format adapted to the display card and a target compressed block size corresponding to the target compressed texture format. The process may also include obtaining a plurality of pieces of image texture data, based on decoding and aligning the source compressed texture data by using the target compressed block size, and obtaining target compressed texture data of the target image, based on transcoding each piece of the plurality of pieces of image texture data by using the target compressed texture format and the target compressed block size. The process may also include rendering the target image based on the target compressed texture data.

Abstract: Embodiments of this disclosure provide a speech enhancement method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a clean speech sample; decomposing the clean speech sample to obtain a first sparse matrix and m base matrices, values in the first sparse matrix being all positive numbers, and m being a positive integer greater than 1; obtaining, according to the first sparse matrix and a weight matrix of a target neural network, state vectors of neurons in a visible layer of the target neural network; and updating the weight matrix according to the state vectors of the neurons in the visible layer and the clean speech sample, to obtain a deep dictionary used for speech enhancement.

Abstract: An image rendering method and a related apparatus, terminal and storage medium that: obtains a low-resolution first shadow map and a high-resolution second shadow map of a target virtual object, determines a first texel range of each texel and a central point in the first shadow map, performs scaling processing, based on the central point, on the first texel range by using a scaling coefficient to obtain a second texel range, and performs shadow rendering on the target virtual object according to the second texel range. A shadow map-based image rendering process is implemented, and since a calculation amount of determining a map position according to a low-resolution map is relatively small, image rendering efficiency is improved. Additionally, rendering of a high-resolution shadow map is completed, generation of edge aliasing is avoided, and an image rendering effect is improved.

Abstract: A method and apparatus for recognizing a pixel point, an illumination rendering method and apparatus, an electronic device, and a storage medium, which is used to effectively detect a pixel point located in a shadow region, to improve the quality of lightmap rendering. The method includes: obtaining a lightmap of a target object in a target scene; determining, according to a distance between each adjacent pixel point of a pixel point in the lightmap and the pixel point, a coverage radius corresponding to the pixel point; and determining, by using the pixel point as a starting point, that when a ray emitted along at least one tangential direction of the pixel point intersects an unlighted surface of an object in the target scene and a length of the ray is the same as the coverage radius, the pixel point is located in the shadow region.