wang_quan的博客

非华为电脑可用管家软件，已测试过。

aptina ai viewer, 可以处理raw数据，功能强大

sony FCB Control Software

AMCap

Source code collections from Data Compression Book by Mark Nelson and Jean-loup Gailly.

FPGA替代为ASIC，大幅降低系统成本，需要在那些方面注意，安森美半导体的这个参考文档可以借鉴学习，包括reduce time to market, avoid getting locked into IP,Verification ... 等

T he median filter is a popular image processing technique for removing salt and pepper (“shot”) noise from images. With this technique, the eight direct neigh- bors and center point of a sliding 3-by-3 array are examined. The median value of the nine elements replaces the original center pixel. The

o'reilly learning perl pdf, 6th edition 如果刚开始学习Perl这门语言，那么《Perl语言入门(中文版第6版)》就是你所需要的——不管你是一名程序员，还是系统管理员，抑或是网络黑客。这本书被整整两代Perl用户昵称为“小骆驼书”，《Perl语言入门( 中文版第6版)》根据作者施瓦茨、福瓦、菲尼克斯从1991年开始的教学经验积累汇聚而成，多年来十分畅销。此次第六版涵盖了最新的Perl 5.14版本的变化。 Perl能在绝大多数平台上完成几乎所有任务，不管是简单的修修补补，还是大型完备的网络应用。这是原版。

Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 This document provides an overview of the coding tools defined in HEVC Version 1 and the Range Extension (RExt) of HEVC Version 2, both of which are implemented in the HEVC test model software. In addition, some of the algorithms that the HM encoder uses to control these tools and user-controlled configuration options are also described.

Design  and  Implementa/on  of  Next Genera/on  Video  Coding  Systems (H.265/HEVC  Tutorial)

Detailed Overview of HEVC/H.265 Prepared by Shevach Riabtsev The author is thankful to every individual who has reviewed the presentation and provided comments/suggestions

CuPy is an implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of cupy. ndarray, the core multi-dimensional array class, and many functions on it. It supports a subset of numpy. ndarray interface. The following is a brief overview of supported subset of NumPy interface: • Basic indexing (indexing by ints, slices, newaxes, and Ellipsis) • Most of Advanced indexing (except for some indexing patterns with boolean masks) • Data types (dtypes): bool_, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float16, float32, float64, complex64, complex128 • Most of the array creation routines (empty, ones_like, diag, etc.) • Most of the array manipulation routines (reshape, rollaxis, concatenate, etc.) • All operators with broadcasting • All universal functions for elementwise operations (except those for complex numbers). • Linear algebra functions, including product (dot, matmul, etc.) and decomposition (cholesky, svd, etc.), accelerated by cuBLAS. • Reduction along axes (sum, max, argmax, etc.) CuPy also includes the following features for performance: • User-defined elementwise CUDA kernels • User-defined reduction CUDA kernels • Fusing CUDA kernels to optimize user-defined calculation • Customizable memory allocator and memory pool • cuDNN utilities

美国Mark Nelson 的经典书籍压缩数据中文版《数据压缩技术原理与范例》，对应的英文版也已上传

美国Mark Nelson 的经典书籍压缩数据英文版，对应的中文版也已上传

Image Processing in C第二版，图像处理的经典电子书。

ITU-BT.2020标准文档，对于4K和8K的图像传输标准描述详细

用verilog编写的sigma-delta adc例子

BT1120 1080i的Encoder编码器模块（Verilog），与720P和1080P编码方式有差异，请参考。

BT656和BT1120格式完整说明文档。

`define BT1120_1080P_30HZ `define BT1120_720P_60HZ `define BT1120_720P_50HZ `define BT1120_720P_30HZ `define BT1120_720P_25HZ 自带ColorBar注意define。

BT 656 Encoder 编码器模块（verilog），已经在modelsim仿真和DE2平台测试过。