Abstract: A data compression method for a deep neural network is provided. The data compression method includes following steps. Pleural items of original data are re-mapped according to at least one offset value and a sign value to obtain pleural items of mapped data. A distribution center of the mapped data is aligned with 0 and all of the mapped data are non-negative integers. Pleural data blocks of the mapped data are encoded using at least two encoding modes to generate an encoding data.

Abstract: An image processing apparatus includes a search range providing circuit, a searching circuit and an encoder. The search range providing circuit obtains N number of predicted motion vectors for a target image block, and accordingly sets N number of corresponding search ranges in a reference frame, where N is an integer greater than 1. The searching circuit performs a motion compensation searching process individually on the N search ranges to accordingly determine a motion vector for the target image block. The encoder encodes the target image block according to the motion vector.

Abstract: An image processing apparatus includes a search range providing circuit, a searching circuit and an encoder. The search range providing circuit obtains N number of predicted motion vectors for a target image block, and accordingly sets N number of corresponding search ranges in a reference frame, where N is an integer greater than 1. The searching circuit performs a motion compensation searching process individually on the N search ranges to accordingly determine a motion vector for the target image block. The encoder encodes the target image block according to the motion vector.

Abstract: A bit allocation method applied to an encoding device includes: performing a high frequency operation on a plurality of encoding blocks of a first frame to obtain a first block texture weight corresponding to a first encoding block among the encoding blocks; performing a protected color detection operation on the encoding blocks to obtain a first block protected color weight corresponding to the first encoding block; calculating a first bit weight corresponding to the first encoding block according to the first block texture weight and the first block protected color weight; and performing bit allocation for the first encoding block according to the first bit weight.

Abstract: A bit rate controlling method applied to a video encoding device includes: establishing a parameter table according to a first frame-level parameter corresponding to a first frame, and storing the parameter table to a look-up table (LUT) unit of the video encoding device; reading the parameter table stored in the LUT unit to obtain at least one encoding parameter corresponding to an encoding block in the first frame according to the parameter table and a target parameter of the encoding block; and encoding the encoding block of the first frame according to the at least one encoding parameter.